Instructions to use barflyman/granite-4.0-1b-ONNX-web with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use barflyman/granite-4.0-1b-ONNX-web with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-generation', 'barflyman/granite-4.0-1b-ONNX-web');
Upload 12 files
Browse files- .gitattributes +43 -35
- README.md +497 -0
- chat_template.jinja +118 -0
- config.json +102 -0
- generation_config.json +7 -0
- merges.txt +0 -0
- onnx/model_q4f16.onnx +3 -0
- onnx/model_q4f16.onnx_data +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +784 -0
- vocab.json +0 -0
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---
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license: apache-2.0
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| 1 |
---
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| 2 |
license: apache-2.0
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| 3 |
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library_name: transformers.js
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| 4 |
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tags:
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- language
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| 6 |
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- granite-4.0
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| 7 |
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base_model:
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- ibm-granite/granite-4.0-1b
|
| 9 |
---
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| 10 |
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| 11 |
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# Granite-4.0-1B
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| 12 |
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**Model Summary:**
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Granite-4.0-1B is a lightweight instruct model finetuned from *Granite-4.0-1B-Base* using a combination of open source instruction datasets with permissive license and internally collected synthetic datasets. This model is developed using a diverse set of techniques including supervised finetuning, reinforcement learning, and model merging.
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- **Developers:** Granite Team, IBM
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- **HF Collection:** [Granite 4.0 Nano Language Models HF Collection](https://huggingface.co/collections/ibm-granite/granite-40-nano-language-models-68e5775c80b60e43b72cfa16)
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- **GitHub Repository:** [ibm-granite/granite-4.0-nano-language-models](https://github.com/ibm-granite/granite-4.0-nano-language-models)
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- **Website**: [Granite Docs](https://www.ibm.com/granite/docs/)
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- **Release Date**: October 28, 2025
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- **License:** [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0)
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**Supported Languages:**
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English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian, Korean, Dutch, and Chinese. Users may fine-tune Granite 4.0 Nano models to support languages beyond those included in this list.
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**Intended use:**
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| 27 |
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Granite 4.0 Nano instruct models feature strong instruction following capabilities bringing advanced AI capabilities within reach for on-device deployments and research use cases. Additionally, their compact size makes them well-suited for fine-tuning on specialized domains without requiring massive compute resources.
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*Capabilities*
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| 30 |
+
* Summarization
|
| 31 |
+
* Text classification
|
| 32 |
+
* Text extraction
|
| 33 |
+
* Question-answering
|
| 34 |
+
* Retrieval Augmented Generation (RAG)
|
| 35 |
+
* Code related tasks
|
| 36 |
+
* Function-calling tasks
|
| 37 |
+
* Multilingual dialog use cases
|
| 38 |
+
* Fill-In-the-Middle (FIM) code completions
|
| 39 |
+
|
| 40 |
+
**Generation:**
|
| 41 |
+
|
| 42 |
+
|
| 43 |
+
If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@huggingface/transformers) using:
|
| 44 |
+
```bash
|
| 45 |
+
npm i @huggingface/transformers
|
| 46 |
+
```
|
| 47 |
+
|
| 48 |
+
**Example**: Basic example
|
| 49 |
+
|
| 50 |
+
```js
|
| 51 |
+
import { pipeline, TextStreamer } from "@huggingface/transformers";
|
| 52 |
+
|
| 53 |
+
// Create a text generation pipeline
|
| 54 |
+
const generator = await pipeline(
|
| 55 |
+
"text-generation",
|
| 56 |
+
"onnx-community/granite-4.0-1b-ONNX",
|
| 57 |
+
{ device: "webgpu", dtype: "q4" },
|
| 58 |
+
);
|
| 59 |
+
|
| 60 |
+
// Define the list of messages
|
| 61 |
+
const messages = [
|
| 62 |
+
{ role: "system", content: "You are a helpful assistant." },
|
| 63 |
+
{ role: "user", content: "What is the capital of France?" },
|
| 64 |
+
];
|
| 65 |
+
|
| 66 |
+
// Generate a response
|
| 67 |
+
const output = await generator(messages, {
|
| 68 |
+
max_new_tokens: 512,
|
| 69 |
+
do_sample: false,
|
| 70 |
+
streamer: new TextStreamer(generator.tokenizer, { skip_prompt: true, skip_special_tokens: true }),
|
| 71 |
+
});
|
| 72 |
+
console.log(output[0].generated_text.at(-1).content);
|
| 73 |
+
// The capital of France is Paris.
|
| 74 |
+
```
|
| 75 |
+
|
| 76 |
+
**Evaluation Results:**
|
| 77 |
+
|
| 78 |
+
<table>
|
| 79 |
+
<thead>
|
| 80 |
+
<tr>
|
| 81 |
+
<th style="text-align:left; background-color: #001d6c; color: white;">Benchmarks</th>
|
| 82 |
+
<th style="text-align:left; background-color: #001d6c; color: white;">Metric</th>
|
| 83 |
+
<th style="text-align:center; background-color: #001d6c; color: white;">350M Dense</th>
|
| 84 |
+
<th style="text-align:center; background-color: #001d6c; color: white;">H 350M Dense</th>
|
| 85 |
+
<th style="text-align:center; background-color: #001d6c; color: white;">1B Dense</th>
|
| 86 |
+
<th style="text-align:center; background-color: #001d6c; color: white;">H 1B Dense</th>
|
| 87 |
+
</tr>
|
| 88 |
+
</thead>
|
| 89 |
+
<tbody>
|
| 90 |
+
<tr>
|
| 91 |
+
<td colspan="6" style="text-align:center; background-color: #FFFFFF; color: #2D2D2D; font-style:italic;">
|
| 92 |
+
General Tasks
|
| 93 |
+
</td>
|
| 94 |
+
</tr>
|
| 95 |
+
<tr>
|
| 96 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">MMLU</td>
|
| 97 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">5-shot</td>
|
| 98 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">35.01</td>
|
| 99 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">36.21</td>
|
| 100 |
+
<td style="text-align:right; background-color: #DAE8FF; color: #2D2D2D;">59.39</td>
|
| 101 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">59.74</td>
|
| 102 |
+
</tr>
|
| 103 |
+
<tr>
|
| 104 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">MMLU-Pro</td>
|
| 105 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">5-shot, CoT</td>
|
| 106 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">12.13</td>
|
| 107 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">14.38</td>
|
| 108 |
+
<td style="text-align:right; background-color: #DAE8FF; color: #2D2D2D;">34.02</td>
|
| 109 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">32.86</td>
|
| 110 |
+
</tr>
|
| 111 |
+
<tr>
|
| 112 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">BBH</td>
|
| 113 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">3-shot, CoT</td>
|
| 114 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">33.07</td>
|
| 115 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">33.28</td>
|
| 116 |
+
<td style="text-align:right; background-color: #DAE8FF; color: #2D2D2D;">60.37</td>
|
| 117 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">59.68</td>
|
| 118 |
+
</tr>
|
| 119 |
+
<tr>
|
| 120 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">AGI EVAL</td>
|
| 121 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">0-shot, CoT</td>
|
| 122 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">26.22</td>
|
| 123 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">29.61</td>
|
| 124 |
+
<td style="text-align:right; background-color: #DAE8FF; color: #2D2D2D;">49.22</td>
|
| 125 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">52.44</td>
|
| 126 |
+
</tr>
|
| 127 |
+
<tr>
|
| 128 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">GPQA</td>
|
| 129 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">0-shot, CoT</td>
|
| 130 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">24.11</td>
|
| 131 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">26.12</td>
|
| 132 |
+
<td style="text-align:right; background-color: #DAE8FF; color: #2D2D2D;">29.91</td>
|
| 133 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">29.69</td>
|
| 134 |
+
</tr>
|
| 135 |
+
<tr>
|
| 136 |
+
<td colspan="6" style="text-align:center; background-color: #FFFFFF; color: #2D2D2D; font-style:italic;">
|
| 137 |
+
Alignment Tasks
|
| 138 |
+
</td>
|
| 139 |
+
</tr>
|
| 140 |
+
<tr>
|
| 141 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">IFEval</td>
|
| 142 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">Instruct, Strict</td>
|
| 143 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">61.63</td>
|
| 144 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">67.63</td>
|
| 145 |
+
<td style="text-align:right; background-color: #DAE8FF; color: #2D2D2D;">80.82</td>
|
| 146 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">82.37</td>
|
| 147 |
+
</tr>
|
| 148 |
+
<tr>
|
| 149 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">IFEval</td>
|
| 150 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">Prompt, Strict</td>
|
| 151 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">49.17</td>
|
| 152 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">55.64</td>
|
| 153 |
+
<td style="text-align:right; background-color: #DAE8FF; color: #2D2D2D;">73.94</td>
|
| 154 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">74.68</td>
|
| 155 |
+
</tr>
|
| 156 |
+
<tr>
|
| 157 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">IFEval</td>
|
| 158 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">Average</td>
|
| 159 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">55.4</td>
|
| 160 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">61.63</td>
|
| 161 |
+
<td style="text-align:right; background-color: #DAE8FF; color: #2D2D2D;">77.38</td>
|
| 162 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">78.53</td>
|
| 163 |
+
</tr>
|
| 164 |
+
<tr>
|
| 165 |
+
<td colspan="6" style="text-align:center; background-color: #FFFFFF; color: #2D2D2D; font-style:italic;">
|
| 166 |
+
Math Tasks
|
| 167 |
+
</td>
|
| 168 |
+
</tr>
|
| 169 |
+
<tr>
|
| 170 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">GSM8K</td>
|
| 171 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">8-shot</td>
|
| 172 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">30.71</td>
|
| 173 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">39.27</td>
|
| 174 |
+
<td style="text-align:right; background-color: #DAE8FF; color: #2D2D2D;">76.35</td>
|
| 175 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">69.83</td>
|
| 176 |
+
</tr>
|
| 177 |
+
<tr>
|
| 178 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">GSM Symbolic</td>
|
| 179 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">8-shot</td>
|
| 180 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">26.76</td>
|
| 181 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">33.7</td>
|
| 182 |
+
<td style="text-align:right; background-color: #DAE8FF; color: #2D2D2D;">72.3</td>
|
| 183 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">65.72</td>
|
| 184 |
+
</tr>
|
| 185 |
+
<tr>
|
| 186 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">Minerva Math</td>
|
| 187 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">0-shot, CoT</td>
|
| 188 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">13.04</td>
|
| 189 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">5.76</td>
|
| 190 |
+
<td style="text-align:right; background-color: #DAE8FF; color: #2D2D2D;">45.28</td>
|
| 191 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">49.4</td>
|
| 192 |
+
</tr>
|
| 193 |
+
<tr>
|
| 194 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">DeepMind Math</td>
|
| 195 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">0-shot, CoT</td>
|
| 196 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">8.45</td>
|
| 197 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">6.2</td>
|
| 198 |
+
<td style="text-align:right; background-color: #DAE8FF; color: #2D2D2D;">34</td>
|
| 199 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">34.98</td>
|
| 200 |
+
</tr>
|
| 201 |
+
<tr>
|
| 202 |
+
<td colspan="6" style="text-align:center; background-color: #FFFFFF; color: #2D2D2D; font-style:italic;">
|
| 203 |
+
Code Tasks
|
| 204 |
+
</td>
|
| 205 |
+
</tr>
|
| 206 |
+
<tr>
|
| 207 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">HumanEval</td>
|
| 208 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">pass@1</td>
|
| 209 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">39</td>
|
| 210 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">38</td>
|
| 211 |
+
<td style="text-align:right; background-color: #DAE8FF; color: #2D2D2D;">74</td>
|
| 212 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">73</td>
|
| 213 |
+
</tr>
|
| 214 |
+
<tr>
|
| 215 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">HumanEval+</td>
|
| 216 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">pass@1</td>
|
| 217 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">37</td>
|
| 218 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">35</td>
|
| 219 |
+
<td style="text-align:right; background-color: #DAE8FF; color: #2D2D2D;">69</td>
|
| 220 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">68</td>
|
| 221 |
+
</tr>
|
| 222 |
+
<tr>
|
| 223 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">MBPP</td>
|
| 224 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">pass@1</td>
|
| 225 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">48</td>
|
| 226 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">49</td>
|
| 227 |
+
<td style="text-align:right; background-color: #DAE8FF; color: #2D2D2D;">65</td>
|
| 228 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">69</td>
|
| 229 |
+
</tr>
|
| 230 |
+
<tr>
|
| 231 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">MBPP+</td>
|
| 232 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">pass@1</td>
|
| 233 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">38</td>
|
| 234 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">44</td>
|
| 235 |
+
<td style="text-align:right; background-color: #DAE8FF; color: #2D2D2D;">57</td>
|
| 236 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">60</td>
|
| 237 |
+
</tr>
|
| 238 |
+
<tr>
|
| 239 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">CRUXEval-O</td>
|
| 240 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">pass@1</td>
|
| 241 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">23.75</td>
|
| 242 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">25.5</td>
|
| 243 |
+
<td style="text-align:right; background-color: #DAE8FF; color: #2D2D2D;">33.13</td>
|
| 244 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">36</td>
|
| 245 |
+
</tr>
|
| 246 |
+
<tr>
|
| 247 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">BigCodeBench</td>
|
| 248 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">pass@1</td>
|
| 249 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">11.14</td>
|
| 250 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">11.23</td>
|
| 251 |
+
<td style="text-align:right; background-color: #DAE8FF; color: #2D2D2D;">30.18</td>
|
| 252 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">29.12</td>
|
| 253 |
+
</tr>
|
| 254 |
+
<tr>
|
| 255 |
+
<td colspan="6" style="text-align:center; background-color: #FFFFFF; color: #2D2D2D; font-style:italic;">
|
| 256 |
+
Tool Calling Tasks
|
| 257 |
+
</td>
|
| 258 |
+
</tr>
|
| 259 |
+
<tr>
|
| 260 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">BFCL v3</td>
|
| 261 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;"></td>
|
| 262 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">39.32</td>
|
| 263 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">43.32</td>
|
| 264 |
+
<td style="text-align:right; background-color: #DAE8FF; color: #2D2D2D;">54.82</td>
|
| 265 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">50.21</td>
|
| 266 |
+
</tr>
|
| 267 |
+
<tr>
|
| 268 |
+
<td colspan="6" style="text-align:center; background-color: #FFFFFF; color: #2D2D2D; font-style:italic;">
|
| 269 |
+
Multilingual Tasks
|
| 270 |
+
</td>
|
| 271 |
+
</tr>
|
| 272 |
+
<tr>
|
| 273 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">MULTIPLE</td>
|
| 274 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">pass@1</td>
|
| 275 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">15.99</td>
|
| 276 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">14.31</td>
|
| 277 |
+
<td style="text-align:right; background-color: #DAE8FF; color: #2D2D2D;">32.24</td>
|
| 278 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">36.11</td>
|
| 279 |
+
</tr>
|
| 280 |
+
<tr>
|
| 281 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">MMMLU</td>
|
| 282 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">5-shot</td>
|
| 283 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">28.23</td>
|
| 284 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">27.95</td>
|
| 285 |
+
<td style="text-align:right; background-color: #DAE8FF; color: #2D2D2D;">45</td>
|
| 286 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">49.43</td>
|
| 287 |
+
</tr>
|
| 288 |
+
<tr>
|
| 289 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">INCLUDE</td>
|
| 290 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">5-shot</td>
|
| 291 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">27.74</td>
|
| 292 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">27.09</td>
|
| 293 |
+
<td style="text-align:right; background-color: #DAE8FF; color: #2D2D2D;">42.12</td>
|
| 294 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">43.35</td>
|
| 295 |
+
</tr>
|
| 296 |
+
<tr>
|
| 297 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">MGSM</td>
|
| 298 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">8-shot</td>
|
| 299 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">14.72</td>
|
| 300 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">16.16</td>
|
| 301 |
+
<td style="text-align:right; background-color: #DAE8FF; color: #2D2D2D;">37.84</td>
|
| 302 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">27.52</td>
|
| 303 |
+
</tr>
|
| 304 |
+
<tr>
|
| 305 |
+
<td colspan="6" style="text-align:center; background-color: #FFFFFF; color: #2D2D2D; font-style:italic;">
|
| 306 |
+
Safety
|
| 307 |
+
</td>
|
| 308 |
+
</tr>
|
| 309 |
+
<tr>
|
| 310 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">SALAD-Bench</td>
|
| 311 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;"></td>
|
| 312 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">97.12</td>
|
| 313 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">96.55</td>
|
| 314 |
+
<td style="text-align:right; background-color: #DAE8FF; color: #2D2D2D;">93.44</td>
|
| 315 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">96.4</td>
|
| 316 |
+
</tr>
|
| 317 |
+
<tr>
|
| 318 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">AttaQ</td>
|
| 319 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;"></td>
|
| 320 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">82.53</td>
|
| 321 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">81.76</td>
|
| 322 |
+
<td style="text-align:right; background-color: #DAE8FF; color: #2D2D2D;">85.26</td>
|
| 323 |
+
<td style="text-align:right; background-color: #FFFFFF; color: #2D2D2D;">82.85</td>
|
| 324 |
+
</tr>
|
| 325 |
+
</tbody></table>
|
| 326 |
+
|
| 327 |
+
<table>
|
| 328 |
+
<caption><b>Multilingual Benchmarks and thr included languages:</b></caption>
|
| 329 |
+
<thead>
|
| 330 |
+
<tr>
|
| 331 |
+
<th style="text-align:left; background-color: #001d6c; color: white;">Benchmarks</th>
|
| 332 |
+
<th style="text-align:left; background-color: #001d6c; color: white;"># Langs</th>
|
| 333 |
+
<th style="text-align:center; background-color: #001d6c; color: white;">Languages</th>
|
| 334 |
+
</tr>
|
| 335 |
+
</thead>
|
| 336 |
+
<tbody>
|
| 337 |
+
<tr>
|
| 338 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">MMMLU</td>
|
| 339 |
+
<td style="text-align:center; background-color: #FFFFFF; color: #2D2D2D;">11</td>
|
| 340 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">ar, de, en, es, fr, ja, ko, pt, zh, bn, hi</td>
|
| 341 |
+
</tr>
|
| 342 |
+
<tr>
|
| 343 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">INCLUDE</td>
|
| 344 |
+
<td style="text-align:center; background-color: #FFFFFF; color: #2D2D2D;">14</td>
|
| 345 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">hi, bn, ta, te, ar, de, es, fr, it, ja, ko, nl, pt, zh</td>
|
| 346 |
+
|
| 347 |
+
</tr>
|
| 348 |
+
<tr>
|
| 349 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">MGSM</td>
|
| 350 |
+
<td style="text-align:center; background-color: #FFFFFF; color: #2D2D2D;">5</td>
|
| 351 |
+
<td style="text-align:left; background-color: #FFFFFF; color: #2D2D2D;">en, es, fr, ja, zh</td>
|
| 352 |
+
</tr>
|
| 353 |
+
</tbody>
|
| 354 |
+
</table>
|
| 355 |
+
|
| 356 |
+
**Model Architecture:**
|
| 357 |
+
|
| 358 |
+
<!-- Granite-4.0-1B baseline is based on a decoder-only dense transformer architecture. Core components of this architecture are: GQA, Mamba2, MLP with SwiGLU, RMSNorm, and shared input/output embeddings. -->
|
| 359 |
+
|
| 360 |
+
Granite-4.0-1B baseline is based on a decoder-only dense transformer architecture. Core components of this architecture are: GQA, MLP with SwiGLU, RMSNorm, and shared input/output embeddings.
|
| 361 |
+
|
| 362 |
+
<table>
|
| 363 |
+
<thead>
|
| 364 |
+
<tr>
|
| 365 |
+
<th style="text-align:left; background-color: #001d6c; color: white;">Model</th>
|
| 366 |
+
<th style="text-align:center; background-color: #001d6c; color: white;">350M Dense</th>
|
| 367 |
+
<th style="text-align:center; background-color: #001d6c; color: white;">H 350M Dense</th>
|
| 368 |
+
<th style="text-align:center; background-color: #001d6c; color: white;">1B Dense</th>
|
| 369 |
+
<th style="text-align:center; background-color: #001d6c; color: white;">H 1B Dense</th>
|
| 370 |
+
</tr></thead>
|
| 371 |
+
<tbody>
|
| 372 |
+
<tr>
|
| 373 |
+
<td style="text-align:left; background-color: #FFFFFF; color: black;">Embedding size</td>
|
| 374 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">1024</td>
|
| 375 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">768</td>
|
| 376 |
+
<td style="text-align:center; background-color: #DAE8FF; color: black;">2048</td>
|
| 377 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">1536</td>
|
| 378 |
+
</tr>
|
| 379 |
+
<tr>
|
| 380 |
+
<td style="text-align:left; background-color: #FFFFFF; color: black;">Number of layers</td>
|
| 381 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">28 attention</td>
|
| 382 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">4 attention / 28 Mamba2</td>
|
| 383 |
+
<td style="text-align:center; background-color: #DAE8FF; color: black;">40 attention</td>
|
| 384 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">4 attention / 36 Mamba2</td>
|
| 385 |
+
</tr>
|
| 386 |
+
<tr>
|
| 387 |
+
<td style="text-align:left; background-color: #FFFFFF; color: black;">Attention head size</td>
|
| 388 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">64</td>
|
| 389 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">64</td>
|
| 390 |
+
<td style="text-align:center; background-color: #DAE8FF; color: black;">128</td>
|
| 391 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">128</td>
|
| 392 |
+
</tr>
|
| 393 |
+
<tr>
|
| 394 |
+
<td style="text-align:left; background-color: #FFFFFF; color: black;">Number of attention heads</td>
|
| 395 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">16</td>
|
| 396 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">12</td>
|
| 397 |
+
<td style="text-align:center; background-color: #DAE8FF; color: black;">16</td>
|
| 398 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">12</td>
|
| 399 |
+
</tr>
|
| 400 |
+
<tr>
|
| 401 |
+
<td style="text-align:left; background-color: #FFFFFF; color: black;">Number of KV heads</td>
|
| 402 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">4</td>
|
| 403 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">4</td>
|
| 404 |
+
<td style="text-align:center; background-color: #DAE8FF; color: black;">4</td>
|
| 405 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">4</td>
|
| 406 |
+
</tr>
|
| 407 |
+
<tr>
|
| 408 |
+
<td style="text-align:left; background-color: #FFFFFF; color: black;">Mamba2 state size</td>
|
| 409 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">-</td>
|
| 410 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">128</td>
|
| 411 |
+
<td style="text-align:center; background-color: #DAE8FF; color: black;">-</td>
|
| 412 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">128</td>
|
| 413 |
+
</tr>
|
| 414 |
+
<tr>
|
| 415 |
+
<td style="text-align:left; background-color: #FFFFFF; color: black;">Number of Mamba2 heads</td>
|
| 416 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">-</td>
|
| 417 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">48</td>
|
| 418 |
+
<td style="text-align:center; background-color: #DAE8FF; color: black;">-</td>
|
| 419 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">48</td>
|
| 420 |
+
</tr>
|
| 421 |
+
|
| 422 |
+
<tr>
|
| 423 |
+
<td style="text-align:left; background-color: #FFFFFF; color: black;">MLP / Shared expert hidden size</td>
|
| 424 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">2048</td>
|
| 425 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">2048</td>
|
| 426 |
+
<td style="text-align:center; background-color: #DAE8FF; color: black;">4096</td>
|
| 427 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">4096</td>
|
| 428 |
+
</tr>
|
| 429 |
+
<tr>
|
| 430 |
+
<td style="text-align:left; background-color: #FFFFFF; color: black;">Num. Experts</td>
|
| 431 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">-</td>
|
| 432 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">-</td>
|
| 433 |
+
<td style="text-align:center; background-color: #DAE8FF; color: black;">-</td>
|
| 434 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">-</td>
|
| 435 |
+
</tr>
|
| 436 |
+
<tr>
|
| 437 |
+
<td style="text-align:left; background-color: #FFFFFF; color: black;">Num. active Experts</td>
|
| 438 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">-</td>
|
| 439 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">-</td>
|
| 440 |
+
<td style="text-align:center; background-color: #DAE8FF; color: black;">-</td>
|
| 441 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">-</td>
|
| 442 |
+
</tr>
|
| 443 |
+
<tr>
|
| 444 |
+
<td style="text-align:left; background-color: #FFFFFF; color: black;">Expert hidden size</td>
|
| 445 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">-</td>
|
| 446 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">-</td>
|
| 447 |
+
<td style="text-align:center; background-color: #DAE8FF; color: black;">-</td>
|
| 448 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">-</td>
|
| 449 |
+
</tr>
|
| 450 |
+
<tr>
|
| 451 |
+
<td style="text-align:left; background-color: #FFFFFF; color: black;">MLP activation</td>
|
| 452 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">SwiGLU</td>
|
| 453 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">SwiGLU</td>
|
| 454 |
+
<td style="text-align:center; background-color: #DAE8FF; color: black;">SwiGLU</td>
|
| 455 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">SwiGLU</td>
|
| 456 |
+
</tr>
|
| 457 |
+
|
| 458 |
+
<tr>
|
| 459 |
+
<td style="text-align:left; background-color: #FFFFFF; color: black;">Sequence length</td>
|
| 460 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">32K</td>
|
| 461 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">32K</td>
|
| 462 |
+
<td style="text-align:center; background-color: #DAE8FF; color: black;">128K</td>
|
| 463 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">128K</td>
|
| 464 |
+
</tr>
|
| 465 |
+
<tr>
|
| 466 |
+
<td style="text-align:left; background-color: #FFFFFF; color: black;">Position embedding</td>
|
| 467 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">RoPE</td>
|
| 468 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">NoPE</td>
|
| 469 |
+
<td style="text-align:center; background-color: #DAE8FF; color: black;">RoPE</td>
|
| 470 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">NoPE</td>
|
| 471 |
+
</tr>
|
| 472 |
+
<tr>
|
| 473 |
+
<td style="text-align:left; background-color: #FFFFFF; color: black;"># Parameters</td>
|
| 474 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">350M</td>
|
| 475 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">340M</td>
|
| 476 |
+
<td style="text-align:center; background-color: #DAE8FF; color: black;">1.6B</td>
|
| 477 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">1.5B</td>
|
| 478 |
+
</tr>
|
| 479 |
+
<tr>
|
| 480 |
+
<td style="text-align:left; background-color: #FFFFFF; color: black;"># Active parameters</td>
|
| 481 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">350M</td>
|
| 482 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">340M</td>
|
| 483 |
+
<td style="text-align:center; background-color: #DAE8FF; color: black;">1.6B</td>
|
| 484 |
+
<td style="text-align:center; background-color: #FFFFFF; color: black;">1.5B</td>
|
| 485 |
+
</tr>
|
| 486 |
+
</tbody></table>
|
| 487 |
+
|
| 488 |
+
**Training Data:**
|
| 489 |
+
Overall, our SFT data is largely comprised of three key sources: (1) publicly available datasets with permissive license, (2) internal synthetic data targeting specific capabilities, and (3) a select set of human-curated data.
|
| 490 |
+
|
| 491 |
+
**Infrastructure:**
|
| 492 |
+
We trained the Granite 4.0 Nano Language Models utilizing an NVIDIA GB200 NVL72 cluster hosted in CoreWeave. Intra-rack communication occurs via the 72-GPU NVLink domain, and a non-blocking, full Fat-Tree NDR 400 Gb/s InfiniBand network provides inter-rack communication. This cluster provides a scalable and efficient infrastructure for training our models over thousands of GPUs.
|
| 493 |
+
|
| 494 |
+
**Ethical Considerations and Limitations:**
|
| 495 |
+
Granite 4.0 Nano Instruct Models are primarily finetuned using instruction-response pairs mostly in English, but also multilingual data covering multiple languages. Although this model can handle multilingual dialog use cases, its performance might not be similar to English tasks. In such case, introducing a small number of examples (few-shot) can help the model in generating more accurate outputs. While this model has been aligned by keeping safety in consideration, the model may in some cases produce inaccurate, biased, or unsafe responses to user prompts. So we urge the community to use this model with proper safety testing and tuning tailored for their specific tasks.
|
| 496 |
+
|
| 497 |
+
**Resources**
|
| 498 |
+
- ⭐️ Learn about the latest updates with Granite: https://www.ibm.com/granite
|
| 499 |
+
- 📄 Get started with tutorials, best practices, and prompt engineering advice: https://www.ibm.com/granite/docs/
|
| 500 |
+
- 💡 Learn about the latest Granite learning resources: https://ibm.biz/granite-learning-resources
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- set tools_system_message_prefix = 'You are a helpful assistant with access to the following tools. You may call one or more tools to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>' %}
|
| 2 |
+
{%- set tools_system_message_suffix = '\n</tools>\n\nFor each tool call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call>. If a tool does not exist in the provided list of tools, notify the user that you do not have the ability to fulfill the request.' %}
|
| 3 |
+
{%- set documents_system_message_prefix = 'You are a helpful assistant with access to the following documents. You may use one or more documents to assist with the user query.\n\nYou are given a list of documents within <documents></documents> XML tags:\n<documents>' %}
|
| 4 |
+
{%- set documents_system_message_suffix = '\n</documents>\n\nWrite the response to the user\'s input by strictly aligning with the facts in the provided documents. If the information needed to answer the question is not available in the documents, inform the user that the question cannot be answered based on the available data.' %}
|
| 5 |
+
{%- set g4_default_system_message = 'You are a helpful assistant. Please ensure responses are professional, accurate, and safe.' %}
|
| 6 |
+
{%- if available_tools is defined and available_tools %}
|
| 7 |
+
{%- set tools = available_tools %}
|
| 8 |
+
{%- endif %}
|
| 9 |
+
{%- set ns = namespace(tools_system_message=tools_system_message_prefix,
|
| 10 |
+
documents_system_message=documents_system_message_prefix,
|
| 11 |
+
default_system_message=g4_default_system_message,
|
| 12 |
+
system_message=''
|
| 13 |
+
) %}
|
| 14 |
+
{%- if tools %}
|
| 15 |
+
{%- for tool in tools %}
|
| 16 |
+
{%- set ns.tools_system_message = ns.tools_system_message + '\n' + (tool | tojson) %}
|
| 17 |
+
{%- endfor %}
|
| 18 |
+
{%- set ns.tools_system_message = ns.tools_system_message + tools_system_message_suffix %}
|
| 19 |
+
{%- else %}
|
| 20 |
+
{%- set ns.tools_system_message = '' %}
|
| 21 |
+
{%- endif %}
|
| 22 |
+
{%- if documents %}
|
| 23 |
+
{%- for document in documents %}
|
| 24 |
+
{%- set ns.documents_system_message = ns.documents_system_message + '\n' + (document | tojson) %}
|
| 25 |
+
{%- endfor %}
|
| 26 |
+
{%- set ns.documents_system_message = ns.documents_system_message + documents_system_message_suffix %}
|
| 27 |
+
{%- else %}
|
| 28 |
+
{%- set ns.documents_system_message = '' %}
|
| 29 |
+
{%- endif %}
|
| 30 |
+
{%- if messages[0].role == 'system' %}
|
| 31 |
+
{%- if messages[0].content is string %}
|
| 32 |
+
{%- set ns.system_message = messages[0].content %}
|
| 33 |
+
{%- elif messages[0].content is iterable %}
|
| 34 |
+
{%- for entry in messages[0].content %}
|
| 35 |
+
{%- if entry.type== 'text' %}
|
| 36 |
+
{%- if ns.system_message != '' %}
|
| 37 |
+
{%- set ns.system_message = ns.system_message + '\n' %}
|
| 38 |
+
{%- endif %}
|
| 39 |
+
{%- set ns.system_message = ns.system_message + entry.text %}
|
| 40 |
+
{%- endif %}
|
| 41 |
+
{%- endfor %}
|
| 42 |
+
{%- endif %}
|
| 43 |
+
{%- if tools and documents %}
|
| 44 |
+
{%- set ns.system_message = ns.system_message + '\n\n' + ns.tools_system_message + '\n\n' + ns.documents_system_message %}
|
| 45 |
+
{%- elif tools %}
|
| 46 |
+
{%- set ns.system_message = ns.system_message + '\n\n' + ns.tools_system_message %}
|
| 47 |
+
{%- elif documents %}
|
| 48 |
+
{%- set ns.system_message = ns.system_message + '\n\n' + ns.documents_system_message %}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- else %}
|
| 51 |
+
{%- if tools and documents %}
|
| 52 |
+
{%- set ns.system_message = ns.tools_system_message + '\n\n' + ns.documents_system_message %}
|
| 53 |
+
{%- elif tools %}
|
| 54 |
+
{%- set ns.system_message = ns.tools_system_message %}
|
| 55 |
+
{%- elif documents %}
|
| 56 |
+
{%- set ns.system_message = ns.documents_system_message %}
|
| 57 |
+
{%- endif %}
|
| 58 |
+
{%- endif %}
|
| 59 |
+
{%- if ns.system_message %}
|
| 60 |
+
{{- '<|start_of_role|>system<|end_of_role|>' + ns.system_message + '<|end_of_text|>\n' }}
|
| 61 |
+
{%- else %}
|
| 62 |
+
{{- '<|start_of_role|>system<|end_of_role|>' + ns.default_system_message + '<|end_of_text|>\n' }}
|
| 63 |
+
{%- endif %}
|
| 64 |
+
{%- for message in messages %}
|
| 65 |
+
{%- set content = namespace(val='') %}
|
| 66 |
+
{%- if message.content is string %}
|
| 67 |
+
{%- set content.val = message.content %}
|
| 68 |
+
{%- else %}
|
| 69 |
+
{%- if message.content is iterable %}
|
| 70 |
+
{%- for entry in message.content %}
|
| 71 |
+
{%- if entry.type== 'text' %}
|
| 72 |
+
{%- if content.val != '' %}
|
| 73 |
+
{%- set content.val = content.val + '\n' %}
|
| 74 |
+
{%- endif %}
|
| 75 |
+
{%- set content.val = content.val + entry.text %}
|
| 76 |
+
{%- endif %}
|
| 77 |
+
{%- endfor %}
|
| 78 |
+
{%- endif %}
|
| 79 |
+
{%- endif %}
|
| 80 |
+
{%- if (message.role == 'user') or (message.role == 'system' and not loop.first) %}
|
| 81 |
+
{{- '<|start_of_role|>' + message.role + '<|end_of_role|>' + content.val + '<|end_of_text|>\n' }}
|
| 82 |
+
{%- elif message.role == 'assistant' %}
|
| 83 |
+
{{- '<|start_of_role|>' + message.role + '<|end_of_role|>' + content.val }}
|
| 84 |
+
{%- if message.tool_calls %}
|
| 85 |
+
{%- for tool_call in message.tool_calls %}
|
| 86 |
+
{%- if (loop.first and content.val) or (not loop.first) %}
|
| 87 |
+
{{- '\n' }}
|
| 88 |
+
{%- endif %}
|
| 89 |
+
{%- if tool_call.function %}
|
| 90 |
+
{%- set tool_call = tool_call.function %}
|
| 91 |
+
{%- endif %}
|
| 92 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 93 |
+
{{- tool_call.name }}
|
| 94 |
+
{{- '", "arguments": ' }}
|
| 95 |
+
{%- if tool_call.arguments is string %}
|
| 96 |
+
{{- tool_call.arguments }}
|
| 97 |
+
{%- else %}
|
| 98 |
+
{{- tool_call.arguments | tojson }}
|
| 99 |
+
{%- endif %}
|
| 100 |
+
{{- '}\n</tool_call>' }}
|
| 101 |
+
{%- endfor %}
|
| 102 |
+
{%- endif %}
|
| 103 |
+
{{- '<|end_of_text|>\n' }}
|
| 104 |
+
{%- elif message.role == 'tool' %}
|
| 105 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != 'tool') %}
|
| 106 |
+
{{- '<|start_of_role|>user<|end_of_role|>' }}
|
| 107 |
+
{%- endif %}
|
| 108 |
+
{{- '\n<tool_response>\n' }}
|
| 109 |
+
{{- content.val }}
|
| 110 |
+
{{- '\n</tool_response>' }}
|
| 111 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != 'tool') %}
|
| 112 |
+
{{- '<|end_of_text|>\n' }}
|
| 113 |
+
{%- endif %}
|
| 114 |
+
{%- endif %}
|
| 115 |
+
{%- endfor %}
|
| 116 |
+
{%- if add_generation_prompt %}
|
| 117 |
+
{{- '<|start_of_role|>assistant<|end_of_role|>' }}
|
| 118 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,102 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"GraniteMoeHybridForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"attention_multiplier": 0.0078125,
|
| 8 |
+
"bos_token_id": 100257,
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"embedding_multiplier": 12,
|
| 11 |
+
"eos_token_id": 100257,
|
| 12 |
+
"hidden_act": "silu",
|
| 13 |
+
"hidden_size": 2048,
|
| 14 |
+
"init_method": "mup",
|
| 15 |
+
"initializer_range": 0.1,
|
| 16 |
+
"intermediate_size": 4096,
|
| 17 |
+
"layer_types": [
|
| 18 |
+
"attention",
|
| 19 |
+
"attention",
|
| 20 |
+
"attention",
|
| 21 |
+
"attention",
|
| 22 |
+
"attention",
|
| 23 |
+
"attention",
|
| 24 |
+
"attention",
|
| 25 |
+
"attention",
|
| 26 |
+
"attention",
|
| 27 |
+
"attention",
|
| 28 |
+
"attention",
|
| 29 |
+
"attention",
|
| 30 |
+
"attention",
|
| 31 |
+
"attention",
|
| 32 |
+
"attention",
|
| 33 |
+
"attention",
|
| 34 |
+
"attention",
|
| 35 |
+
"attention",
|
| 36 |
+
"attention",
|
| 37 |
+
"attention",
|
| 38 |
+
"attention",
|
| 39 |
+
"attention",
|
| 40 |
+
"attention",
|
| 41 |
+
"attention",
|
| 42 |
+
"attention",
|
| 43 |
+
"attention",
|
| 44 |
+
"attention",
|
| 45 |
+
"attention",
|
| 46 |
+
"attention",
|
| 47 |
+
"attention",
|
| 48 |
+
"attention",
|
| 49 |
+
"attention",
|
| 50 |
+
"attention",
|
| 51 |
+
"attention",
|
| 52 |
+
"attention",
|
| 53 |
+
"attention",
|
| 54 |
+
"attention",
|
| 55 |
+
"attention",
|
| 56 |
+
"attention",
|
| 57 |
+
"attention"
|
| 58 |
+
],
|
| 59 |
+
"logits_scaling": 8,
|
| 60 |
+
"mamba_chunk_size": 256,
|
| 61 |
+
"mamba_conv_bias": true,
|
| 62 |
+
"mamba_d_conv": 4,
|
| 63 |
+
"mamba_d_head": 32,
|
| 64 |
+
"mamba_d_state": 256,
|
| 65 |
+
"mamba_expand": 2,
|
| 66 |
+
"mamba_n_groups": 1,
|
| 67 |
+
"mamba_n_heads": 128,
|
| 68 |
+
"mamba_proj_bias": false,
|
| 69 |
+
"max_position_embeddings": 131072,
|
| 70 |
+
"model_type": "granitemoehybrid",
|
| 71 |
+
"normalization_function": "rmsnorm",
|
| 72 |
+
"num_attention_heads": 16,
|
| 73 |
+
"num_experts_per_tok": 0,
|
| 74 |
+
"num_hidden_layers": 40,
|
| 75 |
+
"num_key_value_heads": 4,
|
| 76 |
+
"num_local_experts": 0,
|
| 77 |
+
"output_router_logits": false,
|
| 78 |
+
"pad_token_id": 100256,
|
| 79 |
+
"position_embedding_type": "rope",
|
| 80 |
+
"residual_multiplier": 0.22,
|
| 81 |
+
"rms_norm_eps": 1e-05,
|
| 82 |
+
"rope_scaling": null,
|
| 83 |
+
"rope_theta": 10000000,
|
| 84 |
+
"router_aux_loss_coef": 0.01,
|
| 85 |
+
"shared_intermediate_size": 4096,
|
| 86 |
+
"tie_word_embeddings": true,
|
| 87 |
+
"transformers_version": "4.57.0",
|
| 88 |
+
"use_cache": true,
|
| 89 |
+
"vocab_size": 100352,
|
| 90 |
+
"transformers.js_config": {
|
| 91 |
+
"use_external_data_format": {
|
| 92 |
+
"model.onnx": 4,
|
| 93 |
+
"model_fp16.onnx": 2,
|
| 94 |
+
"model_q4.onnx": 1,
|
| 95 |
+
"model_q4f16.onnx": 1
|
| 96 |
+
},
|
| 97 |
+
"kv_cache_dtype": {
|
| 98 |
+
"q4f16": "float16",
|
| 99 |
+
"fp16": "float16"
|
| 100 |
+
}
|
| 101 |
+
}
|
| 102 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 100257,
|
| 4 |
+
"eos_token_id": 100257,
|
| 5 |
+
"pad_token_id": 100256,
|
| 6 |
+
"transformers_version": "4.57.0"
|
| 7 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
onnx/model_q4f16.onnx
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:97ad57bbe8353a17bb4d0051d7be193aa89d6b52d96d3ac80b1a553c426e668f
|
| 3 |
+
size 391447
|
onnx/model_q4f16.onnx_data
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:53a0dad2b4a98ec763e165aa2721d74e55714ab23803c98f25fd16ac2e0cdaa0
|
| 3 |
+
size 1247088640
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<|end_of_text|>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|end_of_text|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "<|pad|>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "<|unk|>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
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@@ -0,0 +1,784 @@
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| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"100256": {
|
| 6 |
+
"content": "<|pad|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"100257": {
|
| 14 |
+
"content": "<|end_of_text|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"100258": {
|
| 22 |
+
"content": "<|fim_prefix|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": false
|
| 28 |
+
},
|
| 29 |
+
"100259": {
|
| 30 |
+
"content": "<|fim_middle|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": false
|
| 36 |
+
},
|
| 37 |
+
"100260": {
|
| 38 |
+
"content": "<|fim_suffix|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": false
|
| 44 |
+
},
|
| 45 |
+
"100261": {
|
| 46 |
+
"content": "<|fim_pad|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": false
|
| 52 |
+
},
|
| 53 |
+
"100262": {
|
| 54 |
+
"content": "<|filename|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
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| 498 |
+
"single_word": false,
|
| 499 |
+
"special": true
|
| 500 |
+
},
|
| 501 |
+
"100318": {
|
| 502 |
+
"content": "<|unused_49|>",
|
| 503 |
+
"lstrip": false,
|
| 504 |
+
"normalized": false,
|
| 505 |
+
"rstrip": false,
|
| 506 |
+
"single_word": false,
|
| 507 |
+
"special": true
|
| 508 |
+
},
|
| 509 |
+
"100319": {
|
| 510 |
+
"content": "<|unused_50|>",
|
| 511 |
+
"lstrip": false,
|
| 512 |
+
"normalized": false,
|
| 513 |
+
"rstrip": false,
|
| 514 |
+
"single_word": false,
|
| 515 |
+
"special": true
|
| 516 |
+
},
|
| 517 |
+
"100320": {
|
| 518 |
+
"content": "<|unused_51|>",
|
| 519 |
+
"lstrip": false,
|
| 520 |
+
"normalized": false,
|
| 521 |
+
"rstrip": false,
|
| 522 |
+
"single_word": false,
|
| 523 |
+
"special": true
|
| 524 |
+
},
|
| 525 |
+
"100321": {
|
| 526 |
+
"content": "<|unused_52|>",
|
| 527 |
+
"lstrip": false,
|
| 528 |
+
"normalized": false,
|
| 529 |
+
"rstrip": false,
|
| 530 |
+
"single_word": false,
|
| 531 |
+
"special": true
|
| 532 |
+
},
|
| 533 |
+
"100322": {
|
| 534 |
+
"content": "<|unused_53|>",
|
| 535 |
+
"lstrip": false,
|
| 536 |
+
"normalized": false,
|
| 537 |
+
"rstrip": false,
|
| 538 |
+
"single_word": false,
|
| 539 |
+
"special": true
|
| 540 |
+
},
|
| 541 |
+
"100323": {
|
| 542 |
+
"content": "<|unused_54|>",
|
| 543 |
+
"lstrip": false,
|
| 544 |
+
"normalized": false,
|
| 545 |
+
"rstrip": false,
|
| 546 |
+
"single_word": false,
|
| 547 |
+
"special": true
|
| 548 |
+
},
|
| 549 |
+
"100324": {
|
| 550 |
+
"content": "<|unused_55|>",
|
| 551 |
+
"lstrip": false,
|
| 552 |
+
"normalized": false,
|
| 553 |
+
"rstrip": false,
|
| 554 |
+
"single_word": false,
|
| 555 |
+
"special": true
|
| 556 |
+
},
|
| 557 |
+
"100325": {
|
| 558 |
+
"content": "<|unused_56|>",
|
| 559 |
+
"lstrip": false,
|
| 560 |
+
"normalized": false,
|
| 561 |
+
"rstrip": false,
|
| 562 |
+
"single_word": false,
|
| 563 |
+
"special": true
|
| 564 |
+
},
|
| 565 |
+
"100326": {
|
| 566 |
+
"content": "<|unused_57|>",
|
| 567 |
+
"lstrip": false,
|
| 568 |
+
"normalized": false,
|
| 569 |
+
"rstrip": false,
|
| 570 |
+
"single_word": false,
|
| 571 |
+
"special": true
|
| 572 |
+
},
|
| 573 |
+
"100327": {
|
| 574 |
+
"content": "<|unused_58|>",
|
| 575 |
+
"lstrip": false,
|
| 576 |
+
"normalized": false,
|
| 577 |
+
"rstrip": false,
|
| 578 |
+
"single_word": false,
|
| 579 |
+
"special": true
|
| 580 |
+
},
|
| 581 |
+
"100328": {
|
| 582 |
+
"content": "<|unused_59|>",
|
| 583 |
+
"lstrip": false,
|
| 584 |
+
"normalized": false,
|
| 585 |
+
"rstrip": false,
|
| 586 |
+
"single_word": false,
|
| 587 |
+
"special": true
|
| 588 |
+
},
|
| 589 |
+
"100329": {
|
| 590 |
+
"content": "<|unused_60|>",
|
| 591 |
+
"lstrip": false,
|
| 592 |
+
"normalized": false,
|
| 593 |
+
"rstrip": false,
|
| 594 |
+
"single_word": false,
|
| 595 |
+
"special": true
|
| 596 |
+
},
|
| 597 |
+
"100330": {
|
| 598 |
+
"content": "<|unused_61|>",
|
| 599 |
+
"lstrip": false,
|
| 600 |
+
"normalized": false,
|
| 601 |
+
"rstrip": false,
|
| 602 |
+
"single_word": false,
|
| 603 |
+
"special": true
|
| 604 |
+
},
|
| 605 |
+
"100331": {
|
| 606 |
+
"content": "<|unused_62|>",
|
| 607 |
+
"lstrip": false,
|
| 608 |
+
"normalized": false,
|
| 609 |
+
"rstrip": false,
|
| 610 |
+
"single_word": false,
|
| 611 |
+
"special": true
|
| 612 |
+
},
|
| 613 |
+
"100332": {
|
| 614 |
+
"content": "<|unused_63|>",
|
| 615 |
+
"lstrip": false,
|
| 616 |
+
"normalized": false,
|
| 617 |
+
"rstrip": false,
|
| 618 |
+
"single_word": false,
|
| 619 |
+
"special": true
|
| 620 |
+
},
|
| 621 |
+
"100333": {
|
| 622 |
+
"content": "<|unused_64|>",
|
| 623 |
+
"lstrip": false,
|
| 624 |
+
"normalized": false,
|
| 625 |
+
"rstrip": false,
|
| 626 |
+
"single_word": false,
|
| 627 |
+
"special": true
|
| 628 |
+
},
|
| 629 |
+
"100334": {
|
| 630 |
+
"content": "<|unused_65|>",
|
| 631 |
+
"lstrip": false,
|
| 632 |
+
"normalized": false,
|
| 633 |
+
"rstrip": false,
|
| 634 |
+
"single_word": false,
|
| 635 |
+
"special": true
|
| 636 |
+
},
|
| 637 |
+
"100335": {
|
| 638 |
+
"content": "<|unused_66|>",
|
| 639 |
+
"lstrip": false,
|
| 640 |
+
"normalized": false,
|
| 641 |
+
"rstrip": false,
|
| 642 |
+
"single_word": false,
|
| 643 |
+
"special": true
|
| 644 |
+
},
|
| 645 |
+
"100336": {
|
| 646 |
+
"content": "<|unused_67|>",
|
| 647 |
+
"lstrip": false,
|
| 648 |
+
"normalized": false,
|
| 649 |
+
"rstrip": false,
|
| 650 |
+
"single_word": false,
|
| 651 |
+
"special": true
|
| 652 |
+
},
|
| 653 |
+
"100337": {
|
| 654 |
+
"content": "<|unused_68|>",
|
| 655 |
+
"lstrip": false,
|
| 656 |
+
"normalized": false,
|
| 657 |
+
"rstrip": false,
|
| 658 |
+
"single_word": false,
|
| 659 |
+
"special": true
|
| 660 |
+
},
|
| 661 |
+
"100338": {
|
| 662 |
+
"content": "<|unused_69|>",
|
| 663 |
+
"lstrip": false,
|
| 664 |
+
"normalized": false,
|
| 665 |
+
"rstrip": false,
|
| 666 |
+
"single_word": false,
|
| 667 |
+
"special": true
|
| 668 |
+
},
|
| 669 |
+
"100339": {
|
| 670 |
+
"content": "<|unused_70|>",
|
| 671 |
+
"lstrip": false,
|
| 672 |
+
"normalized": false,
|
| 673 |
+
"rstrip": false,
|
| 674 |
+
"single_word": false,
|
| 675 |
+
"special": true
|
| 676 |
+
},
|
| 677 |
+
"100340": {
|
| 678 |
+
"content": "<|unused_71|>",
|
| 679 |
+
"lstrip": false,
|
| 680 |
+
"normalized": false,
|
| 681 |
+
"rstrip": false,
|
| 682 |
+
"single_word": false,
|
| 683 |
+
"special": true
|
| 684 |
+
},
|
| 685 |
+
"100341": {
|
| 686 |
+
"content": "<|unused_72|>",
|
| 687 |
+
"lstrip": false,
|
| 688 |
+
"normalized": false,
|
| 689 |
+
"rstrip": false,
|
| 690 |
+
"single_word": false,
|
| 691 |
+
"special": true
|
| 692 |
+
},
|
| 693 |
+
"100342": {
|
| 694 |
+
"content": "<|unused_73|>",
|
| 695 |
+
"lstrip": false,
|
| 696 |
+
"normalized": false,
|
| 697 |
+
"rstrip": false,
|
| 698 |
+
"single_word": false,
|
| 699 |
+
"special": true
|
| 700 |
+
},
|
| 701 |
+
"100343": {
|
| 702 |
+
"content": "<|unused_74|>",
|
| 703 |
+
"lstrip": false,
|
| 704 |
+
"normalized": false,
|
| 705 |
+
"rstrip": false,
|
| 706 |
+
"single_word": false,
|
| 707 |
+
"special": true
|
| 708 |
+
},
|
| 709 |
+
"100344": {
|
| 710 |
+
"content": "<|unused_75|>",
|
| 711 |
+
"lstrip": false,
|
| 712 |
+
"normalized": false,
|
| 713 |
+
"rstrip": false,
|
| 714 |
+
"single_word": false,
|
| 715 |
+
"special": true
|
| 716 |
+
},
|
| 717 |
+
"100345": {
|
| 718 |
+
"content": "<|unused_76|>",
|
| 719 |
+
"lstrip": false,
|
| 720 |
+
"normalized": false,
|
| 721 |
+
"rstrip": false,
|
| 722 |
+
"single_word": false,
|
| 723 |
+
"special": true
|
| 724 |
+
},
|
| 725 |
+
"100346": {
|
| 726 |
+
"content": "<|unused_77|>",
|
| 727 |
+
"lstrip": false,
|
| 728 |
+
"normalized": false,
|
| 729 |
+
"rstrip": false,
|
| 730 |
+
"single_word": false,
|
| 731 |
+
"special": true
|
| 732 |
+
},
|
| 733 |
+
"100347": {
|
| 734 |
+
"content": "<|unused_78|>",
|
| 735 |
+
"lstrip": false,
|
| 736 |
+
"normalized": false,
|
| 737 |
+
"rstrip": false,
|
| 738 |
+
"single_word": false,
|
| 739 |
+
"special": true
|
| 740 |
+
},
|
| 741 |
+
"100348": {
|
| 742 |
+
"content": "<|unused_79|>",
|
| 743 |
+
"lstrip": false,
|
| 744 |
+
"normalized": false,
|
| 745 |
+
"rstrip": false,
|
| 746 |
+
"single_word": false,
|
| 747 |
+
"special": true
|
| 748 |
+
},
|
| 749 |
+
"100349": {
|
| 750 |
+
"content": "<|unused_80|>",
|
| 751 |
+
"lstrip": false,
|
| 752 |
+
"normalized": false,
|
| 753 |
+
"rstrip": false,
|
| 754 |
+
"single_word": false,
|
| 755 |
+
"special": true
|
| 756 |
+
},
|
| 757 |
+
"100350": {
|
| 758 |
+
"content": "<|unused_81|>",
|
| 759 |
+
"lstrip": false,
|
| 760 |
+
"normalized": false,
|
| 761 |
+
"rstrip": false,
|
| 762 |
+
"single_word": false,
|
| 763 |
+
"special": true
|
| 764 |
+
},
|
| 765 |
+
"100351": {
|
| 766 |
+
"content": "<|unused_82|>",
|
| 767 |
+
"lstrip": false,
|
| 768 |
+
"normalized": false,
|
| 769 |
+
"rstrip": false,
|
| 770 |
+
"single_word": false,
|
| 771 |
+
"special": true
|
| 772 |
+
}
|
| 773 |
+
},
|
| 774 |
+
"bos_token": "<|end_of_text|>",
|
| 775 |
+
"clean_up_tokenization_spaces": false,
|
| 776 |
+
"eos_token": "<|end_of_text|>",
|
| 777 |
+
"extra_special_tokens": {},
|
| 778 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 779 |
+
"pad_token": "<|pad|>",
|
| 780 |
+
"padding_side": "left",
|
| 781 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 782 |
+
"unk_token": "<|unk|>",
|
| 783 |
+
"chat_template": "{%- set tools_system_message_prefix = 'You are a helpful assistant with access to the following tools. You may call one or more tools to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>' %}\n{%- set tools_system_message_suffix = '\\n</tools>\\n\\nFor each tool call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call>. If a tool does not exist in the provided list of tools, notify the user that you do not have the ability to fulfill the request.' %}\n{%- set documents_system_message_prefix = 'You are a helpful assistant with access to the following documents. You may use one or more documents to assist with the user query.\\n\\nYou are given a list of documents within <documents></documents> XML tags:\\n<documents>' %}\n{%- set documents_system_message_suffix = '\\n</documents>\\n\\nWrite the response to the user\\'s input by strictly aligning with the facts in the provided documents. If the information needed to answer the question is not available in the documents, inform the user that the question cannot be answered based on the available data.' %}\n{%- set g4_default_system_message = 'You are a helpful assistant. Please ensure responses are professional, accurate, and safe.' %}\n{%- if available_tools is defined and available_tools %}\n {%- set tools = available_tools %}\n{%- endif %}\n{%- set ns = namespace(tools_system_message=tools_system_message_prefix,\n documents_system_message=documents_system_message_prefix,\n default_system_message=g4_default_system_message,\n system_message=''\n ) %}\n{%- if tools %}\n {%- for tool in tools %}\n {%- set ns.tools_system_message = ns.tools_system_message + '\\n' + (tool | tojson) %}\n {%- endfor %}\n {%- set ns.tools_system_message = ns.tools_system_message + tools_system_message_suffix %}\n{%- else %}\n {%- set ns.tools_system_message = '' %}\n{%- endif %}\n{%- if documents %}\n {%- for document in documents %}\n {%- set ns.documents_system_message = ns.documents_system_message + '\\n' + (document | tojson) %}\n {%- endfor %}\n {%- set ns.documents_system_message = ns.documents_system_message + documents_system_message_suffix %}\n{%- else %}\n {%- set ns.documents_system_message = '' %}\n{%- endif %}\n{%- if messages[0].role == 'system' %}\n {%- if messages[0].content is string %}\n {%- set ns.system_message = messages[0].content %}\n {%- elif messages[0].content is iterable %}\n {%- for entry in messages[0].content %}\n {%- if entry.type== 'text' %}\n {%- if ns.system_message != '' %}\n {%- set ns.system_message = ns.system_message + '\\n' %}\n {%- endif %}\n {%- set ns.system_message = ns.system_message + entry.text %}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {%- if tools and documents %}\n {%- set ns.system_message = ns.system_message + '\\n\\n' + ns.tools_system_message + '\\n\\n' + ns.documents_system_message %}\n {%- elif tools %}\n {%- set ns.system_message = ns.system_message + '\\n\\n' + ns.tools_system_message %}\n {%- elif documents %}\n {%- set ns.system_message = ns.system_message + '\\n\\n' + ns.documents_system_message %}\n {%- endif %}\n{%- else %}\n {%- if tools and documents %}\n {%- set ns.system_message = ns.tools_system_message + '\\n\\n' + ns.documents_system_message %}\n {%- elif tools %}\n {%- set ns.system_message = ns.tools_system_message %}\n {%- elif documents %}\n {%- set ns.system_message = ns.documents_system_message %}\n {%- endif %}\n{%- endif %}\n{%- if ns.system_message %}\n {{- '<|start_of_role|>system<|end_of_role|>' + ns.system_message + '<|end_of_text|>\\n' }}\n{%- else %}\n {{- '<|start_of_role|>system<|end_of_role|>' + ns.default_system_message + '<|end_of_text|>\\n' }}\n{%- endif %}\n{%- for message in messages %}\n {%- set content = namespace(val='') %}\n {%- if message.content is string %}\n {%- set content.val = message.content %}\n {%- else %}\n {%- if message.content is iterable %}\n {%- for entry in message.content %}\n {%- if entry.type== 'text' %}\n {%- if content.val != '' %}\n {%- set content.val = content.val + '\\n' %}\n {%- endif %}\n {%- set content.val = content.val + entry.text %}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {%- endif %}\n {%- if (message.role == 'user') or (message.role == 'system' and not loop.first) %}\n {{- '<|start_of_role|>' + message.role + '<|end_of_role|>' + content.val + '<|end_of_text|>\\n' }}\n {%- elif message.role == 'assistant' %}\n {{- '<|start_of_role|>' + message.role + '<|end_of_role|>' + content.val }}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content.val) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|end_of_text|>\\n' }}\n {%- elif message.role == 'tool' %}\n {%- if loop.first or (messages[loop.index0 - 1].role != 'tool') %}\n {{- '<|start_of_role|>user<|end_of_role|>' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content.val }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != 'tool') %}\n {{- '<|end_of_text|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_of_role|>assistant<|end_of_role|>' }}\n{%- endif %}"
|
| 784 |
+
}
|
vocab.json
ADDED
|
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See raw diff
|
|
|