Text Generation
Transformers
Safetensors
PyTorch
English
Hindi
lfm2
conversational
roleplay
companion
character
uncensored
fine-tuned
merged
sft
chat
liquidai
lfm
lfm2.5
chatml
Instructions to use Umranz/Shruti-Soft-2.6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Umranz/Shruti-Soft-2.6b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Umranz/Shruti-Soft-2.6b") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Umranz/Shruti-Soft-2.6b") model = AutoModelForCausalLM.from_pretrained("Umranz/Shruti-Soft-2.6b", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Umranz/Shruti-Soft-2.6b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Umranz/Shruti-Soft-2.6b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Umranz/Shruti-Soft-2.6b", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Umranz/Shruti-Soft-2.6b
- SGLang
How to use Umranz/Shruti-Soft-2.6b with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Umranz/Shruti-Soft-2.6b" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Umranz/Shruti-Soft-2.6b", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Umranz/Shruti-Soft-2.6b" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Umranz/Shruti-Soft-2.6b", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Umranz/Shruti-Soft-2.6b with Docker Model Runner:
docker model run hf.co/Umranz/Shruti-Soft-2.6b
Phase 3: Shruti-Soft fine-tune (source: Umranz/Shruti-Soft-2.6b-run-b)
Browse files- .gitattributes +1 -0
- .leap_ray_final_metrics.json +1 -0
- .wandb_run_id_shruti-soft-run-b +1 -0
- LFM2.5-2.6B-heretic-sft-shruti-tra-all-lr2em05-w0p1-lora_a-e0s100-20260813_093801/README.md +207 -0
- LFM2.5-2.6B-heretic-sft-shruti-tra-all-lr2em05-w0p1-lora_a-e0s100-20260813_093801/adapter_config.json +52 -0
- LFM2.5-2.6B-heretic-sft-shruti-tra-all-lr2em05-w0p1-lora_a-e0s100-20260813_093801/rng_state.pth +3 -0
- LFM2.5-2.6B-heretic-sft-shruti-tra-all-lr2em05-w0p1-lora_a-e0s100-20260813_093801/scheduler.pt +3 -0
- LFM2.5-2.6B-heretic-sft-shruti-tra-all-lr2em05-w0p1-lora_a-e0s100-20260813_093801/tokenizer.json +3 -0
- LFM2.5-2.6B-heretic-sft-shruti-tra-all-lr2em05-w0p1-lora_a-e0s100-20260813_093801/tokenizer_config.json +17 -0
- adapter_config.json +52 -0
- adapter_model.safetensors +3 -0
- chat_template.jinja +125 -0
- tokenizer.json +3 -0
- tokenizer_config.json +17 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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kwjiiipd
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LFM2.5-2.6B-heretic-sft-shruti-tra-all-lr2em05-w0p1-lora_a-e0s100-20260813_093801/README.md
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---
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| 2 |
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base_model: Umranz/LFM2.5-2.6B-heretic
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| 3 |
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library_name: peft
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pipeline_tag: text-generation
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tags:
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- base_model:adapter:Umranz/LFM2.5-2.6B-heretic
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| 7 |
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- lora
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| 8 |
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- transformers
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| 9 |
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---
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| 10 |
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| 11 |
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# Model Card for Model ID
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| 13 |
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.20.0
|
LFM2.5-2.6B-heretic-sft-shruti-tra-all-lr2em05-w0p1-lora_a-e0s100-20260813_093801/adapter_config.json
ADDED
|
@@ -0,0 +1,52 @@
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|
| 1 |
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|
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|
| 3 |
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|
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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| 9 |
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|
| 10 |
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| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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"lora_ga_config": null,
|
| 23 |
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|
| 24 |
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|
| 25 |
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| 26 |
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|
| 27 |
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|
| 28 |
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"peft_version": "0.20.0",
|
| 29 |
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|
| 30 |
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"r": 32,
|
| 31 |
+
"rank_pattern": {},
|
| 32 |
+
"revision": null,
|
| 33 |
+
"target_modules": [
|
| 34 |
+
"feed_forward.w1",
|
| 35 |
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"self_attn.out_proj",
|
| 36 |
+
"feed_forward.w2",
|
| 37 |
+
"feed_forward.w3",
|
| 38 |
+
"conv.in_proj",
|
| 39 |
+
"conv.out_proj",
|
| 40 |
+
"self_attn.k_proj",
|
| 41 |
+
"self_attn.q_proj",
|
| 42 |
+
"self_attn.v_proj"
|
| 43 |
+
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|
| 44 |
+
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|
| 45 |
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|
| 46 |
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|
| 48 |
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| 49 |
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|
| 50 |
+
"use_rslora": false,
|
| 51 |
+
"velora_config": null
|
| 52 |
+
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|
LFM2.5-2.6B-heretic-sft-shruti-tra-all-lr2em05-w0p1-lora_a-e0s100-20260813_093801/rng_state.pth
ADDED
|
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size 14709
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LFM2.5-2.6B-heretic-sft-shruti-tra-all-lr2em05-w0p1-lora_a-e0s100-20260813_093801/scheduler.pt
ADDED
|
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version https://git-lfs.github.com/spec/v1
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size 1465
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LFM2.5-2.6B-heretic-sft-shruti-tra-all-lr2em05-w0p1-lora_a-e0s100-20260813_093801/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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LFM2.5-2.6B-heretic-sft-shruti-tra-all-lr2em05-w0p1-lora_a-e0s100-20260813_093801/tokenizer_config.json
ADDED
|
@@ -0,0 +1,17 @@
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|
|
| 1 |
+
{
|
| 2 |
+
"backend": "tokenizers",
|
| 3 |
+
"bos_token": "<|startoftext|>",
|
| 4 |
+
"clean_up_tokenization_spaces": false,
|
| 5 |
+
"eos_token": "<|im_end|>",
|
| 6 |
+
"is_local": false,
|
| 7 |
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"legacy": false,
|
| 8 |
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"local_files_only": false,
|
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"pad_token_type_id": 0,
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"padding_side": "left",
|
| 15 |
+
"tokenizer_class": "TokenizersBackend",
|
| 16 |
+
"use_default_system_prompt": false
|
| 17 |
+
}
|
adapter_config.json
ADDED
|
@@ -0,0 +1,52 @@
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|
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|
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|
| 20 |
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|
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|
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|
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|
| 27 |
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"peft_type": "LORA",
|
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|
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|
| 30 |
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"r": 32,
|
| 31 |
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"rank_pattern": {},
|
| 32 |
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"revision": null,
|
| 33 |
+
"target_modules": [
|
| 34 |
+
"feed_forward.w1",
|
| 35 |
+
"self_attn.out_proj",
|
| 36 |
+
"feed_forward.w2",
|
| 37 |
+
"feed_forward.w3",
|
| 38 |
+
"conv.in_proj",
|
| 39 |
+
"conv.out_proj",
|
| 40 |
+
"self_attn.k_proj",
|
| 41 |
+
"self_attn.q_proj",
|
| 42 |
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"self_attn.v_proj"
|
| 43 |
+
],
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|
| 45 |
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| 50 |
+
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|
| 51 |
+
"velora_config": null
|
| 52 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:629d699caa008c5c8e716f54a344bf6ec4129c9b82226c654b21d94c50cf86f4
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chat_template.jinja
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{{- bos_token -}}
|
| 2 |
+
{%- set preserve_thinking = preserve_thinking | default(false) -%}
|
| 3 |
+
|
| 4 |
+
{%- macro format_arg_value(arg_value) -%}
|
| 5 |
+
{%- if arg_value is string -%}
|
| 6 |
+
{{- "'" + (arg_value | replace("\\", "\\\\") | replace("'", "\\'") | replace("\n", "\\n") | replace("\r", "\\r")) + "'" -}}
|
| 7 |
+
{%- elif arg_value is mapping or arg_value is iterable -%}
|
| 8 |
+
{{- arg_value | tojson -}}
|
| 9 |
+
{%- else -%}
|
| 10 |
+
{{- arg_value | string -}}
|
| 11 |
+
{%- endif -%}
|
| 12 |
+
{%- endmacro -%}
|
| 13 |
+
|
| 14 |
+
{%- macro parse_content(content) -%}
|
| 15 |
+
{%- if content is string -%}
|
| 16 |
+
{{- content -}}
|
| 17 |
+
{%- elif content is mapping -%}
|
| 18 |
+
{{- content | tojson -}}
|
| 19 |
+
{%- elif content is iterable -%}
|
| 20 |
+
{%- set _ns = namespace(result="") -%}
|
| 21 |
+
{%- for item in content -%}
|
| 22 |
+
{%- if item is string -%}
|
| 23 |
+
{%- set _ns.result = _ns.result + item -%}
|
| 24 |
+
{%- elif item is mapping and item.get("type") == "image" -%}
|
| 25 |
+
{%- set _ns.result = _ns.result + "<image>" -%}
|
| 26 |
+
{%- elif item is mapping and item.get("type") == "text" -%}
|
| 27 |
+
{%- set _ns.result = _ns.result + ((item.get("text") or "") | string) -%}
|
| 28 |
+
{%- else -%}
|
| 29 |
+
{%- set _ns.result = _ns.result + (item | tojson) -%}
|
| 30 |
+
{%- endif -%}
|
| 31 |
+
{%- endfor -%}
|
| 32 |
+
{{- _ns.result -}}
|
| 33 |
+
{%- endif -%}
|
| 34 |
+
{%- endmacro -%}
|
| 35 |
+
|
| 36 |
+
{%- macro render_tool_calls(tool_calls) -%}
|
| 37 |
+
{%- set tool_calls_ns = namespace(tool_calls=[]) -%}
|
| 38 |
+
{%- for tool_call in tool_calls -%}
|
| 39 |
+
{%- set func = tool_call["function"] if "function" in tool_call else tool_call -%}
|
| 40 |
+
{%- set func_name = func["name"] -%}
|
| 41 |
+
{%- set func_args = func.get("arguments") -%}
|
| 42 |
+
{%- set args_ns = namespace(arg_strings=[]) -%}
|
| 43 |
+
{%- if func_args is mapping -%}
|
| 44 |
+
{%- for arg_name, arg_value in func_args.items() -%}
|
| 45 |
+
{%- set args_ns.arg_strings = args_ns.arg_strings + [arg_name + "=" + format_arg_value(arg_value)] -%}
|
| 46 |
+
{%- endfor -%}
|
| 47 |
+
{%- elif func_args is string and (func_args | trim) not in ["", "{}", "null"] -%}
|
| 48 |
+
{{- raise_exception("Tool call arguments must be a mapping, got a JSON-encoded string: parse arguments with json.loads() before applying the chat template") -}}
|
| 49 |
+
{%- endif -%}
|
| 50 |
+
{%- set tool_calls_ns.tool_calls = tool_calls_ns.tool_calls + [func_name + "(" + (args_ns.arg_strings | join(", ")) + ")"] -%}
|
| 51 |
+
{%- endfor -%}
|
| 52 |
+
{{- "<|tool_call_start|>[" + (tool_calls_ns.tool_calls | join(", ")) + "]<|tool_call_end|>" -}}
|
| 53 |
+
{%- endmacro -%}
|
| 54 |
+
|
| 55 |
+
{%- set ns = namespace(system_prompt="", last_user_index=-1) -%}
|
| 56 |
+
{%- if messages and messages[0]["role"] == "system" -%}
|
| 57 |
+
{%- if messages[0].get("content") -%}
|
| 58 |
+
{%- set ns.system_prompt = parse_content(messages[0]["content"]) -%}
|
| 59 |
+
{%- endif -%}
|
| 60 |
+
{%- set messages = messages[1:] -%}
|
| 61 |
+
{%- endif -%}
|
| 62 |
+
{%- if tools -%}
|
| 63 |
+
{%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: [" -%}
|
| 64 |
+
{%- for tool in tools -%}
|
| 65 |
+
{%- if tool is not string -%}
|
| 66 |
+
{%- set tool = tool | tojson -%}
|
| 67 |
+
{%- endif -%}
|
| 68 |
+
{%- set ns.system_prompt = ns.system_prompt + tool -%}
|
| 69 |
+
{%- if not loop.last -%}
|
| 70 |
+
{%- set ns.system_prompt = ns.system_prompt + ", " -%}
|
| 71 |
+
{%- endif -%}
|
| 72 |
+
{%- endfor -%}
|
| 73 |
+
{%- set ns.system_prompt = ns.system_prompt + "]" -%}
|
| 74 |
+
{%- endif -%}
|
| 75 |
+
{%- if ns.system_prompt -%}
|
| 76 |
+
{{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}}
|
| 77 |
+
{%- endif -%}
|
| 78 |
+
{%- for message in messages -%}
|
| 79 |
+
{%- if message["role"] == "user" -%}
|
| 80 |
+
{%- set ns.last_user_index = loop.index0 -%}
|
| 81 |
+
{%- endif -%}
|
| 82 |
+
{%- endfor -%}
|
| 83 |
+
{%- for message in messages -%}
|
| 84 |
+
{{- "<|im_start|>" + message.role + "\n" -}}
|
| 85 |
+
{%- if message.role == "assistant" -%}
|
| 86 |
+
{%- generation -%}
|
| 87 |
+
{%- set keep_thinking = preserve_thinking or loop.index0 > ns.last_user_index -%}
|
| 88 |
+
{%- set thinking = message.thinking or message.reasoning or message.reasoning_content -%}
|
| 89 |
+
{%- set thinking = thinking if thinking is string else "" -%}
|
| 90 |
+
{%- if thinking and keep_thinking -%}
|
| 91 |
+
{{- "<think>" + thinking + "</think>" -}}
|
| 92 |
+
{%- endif -%}
|
| 93 |
+
{%- set _cfm_tag = "CONTINUE_FINAL_MESSAGE_TAG " -%}
|
| 94 |
+
{%- set _has_cfm = false -%}
|
| 95 |
+
{%- set content = "" -%}
|
| 96 |
+
{%- if message.get("content") -%}
|
| 97 |
+
{%- set content = parse_content(message.content) -%}
|
| 98 |
+
{%- endif -%}
|
| 99 |
+
{%- if not keep_thinking and "</think>" in content -%}
|
| 100 |
+
{%- set content = content.split("</think>")[-1] | trim -%}
|
| 101 |
+
{%- endif -%}
|
| 102 |
+
{%- if content.endswith(_cfm_tag) -%}
|
| 103 |
+
{%- set _has_cfm = true -%}
|
| 104 |
+
{%- set _trunc_len = (content | length) - (_cfm_tag | length) -%}
|
| 105 |
+
{%- set content = content[:_trunc_len] -%}
|
| 106 |
+
{%- endif -%}
|
| 107 |
+
{{- content -}}
|
| 108 |
+
{%- if message.tool_calls -%}
|
| 109 |
+
{{- render_tool_calls(message.tool_calls) -}}
|
| 110 |
+
{%- endif -%}
|
| 111 |
+
{%- if _has_cfm -%}
|
| 112 |
+
{{- _cfm_tag -}}
|
| 113 |
+
{%- endif -%}
|
| 114 |
+
{{- "<|im_end|>\n" -}}
|
| 115 |
+
{%- endgeneration -%}
|
| 116 |
+
{%- else %}
|
| 117 |
+
{%- if message.get("content") -%}
|
| 118 |
+
{{- parse_content(message["content"]) -}}
|
| 119 |
+
{%- endif -%}
|
| 120 |
+
{{- "<|im_end|>\n" -}}
|
| 121 |
+
{%- endif %}
|
| 122 |
+
{%- endfor -%}
|
| 123 |
+
{%- if add_generation_prompt -%}
|
| 124 |
+
{{- "<|im_start|>assistant\n<think>" -}}
|
| 125 |
+
{%- endif -%}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:307027ef77b3f5ebbb4efddbd4ea99dd24cde32a7fd1d55c3bae3be487aa5853
|
| 3 |
+
size 17905759
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"backend": "tokenizers",
|
| 3 |
+
"bos_token": "<|startoftext|>",
|
| 4 |
+
"clean_up_tokenization_spaces": false,
|
| 5 |
+
"eos_token": "<|im_end|>",
|
| 6 |
+
"is_local": false,
|
| 7 |
+
"legacy": false,
|
| 8 |
+
"local_files_only": false,
|
| 9 |
+
"max_length": null,
|
| 10 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 11 |
+
"pad_to_multiple_of": null,
|
| 12 |
+
"pad_token": "<|pad|>",
|
| 13 |
+
"pad_token_type_id": 0,
|
| 14 |
+
"padding_side": "left",
|
| 15 |
+
"tokenizer_class": "TokenizersBackend",
|
| 16 |
+
"use_default_system_prompt": false
|
| 17 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:13d0e1f2d4c222b029eab52b9346b804a42934e927437478f9b24d155f348ca9
|
| 3 |
+
size 5393
|