Text Generation
PEFT
TensorBoard
Safetensors
Transformers
mistral
lora
conversational
text-generation-inference
4-bit precision
bitsandbytes
Instructions to use jimjrxieb/JamesOS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jimjrxieb/JamesOS with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Mistral-7B") model = PeftModel.from_pretrained(base_model, "jimjrxieb/JamesOS") - Transformers
How to use jimjrxieb/JamesOS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="jimjrxieb/JamesOS") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("jimjrxieb/JamesOS") model = AutoModelForCausalLM.from_pretrained("jimjrxieb/JamesOS", 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 jimjrxieb/JamesOS with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "jimjrxieb/JamesOS" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jimjrxieb/JamesOS", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/jimjrxieb/JamesOS
- SGLang
How to use jimjrxieb/JamesOS 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 "jimjrxieb/JamesOS" \ --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": "jimjrxieb/JamesOS", "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 "jimjrxieb/JamesOS" \ --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": "jimjrxieb/JamesOS", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use jimjrxieb/JamesOS with Docker Model Runner:
docker model run hf.co/jimjrxieb/JamesOS
🚀 Auto-upload from Colab with HF_TOKEN
Browse files- README.md +207 -0
- adapter_config.json +36 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +34 -0
- additional_chat_templates/tool_use.jinja +152 -0
- chat_template.jinja +4 -0
- runs/Aug06_13-58-04_1c23a5658fd6/events.out.tfevents.1754488686.1c23a5658fd6.2481.0 +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +301 -0
README.md
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| 1 |
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---
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| 2 |
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base_model: NousResearch/Hermes-2-Pro-Mistral-7B
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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:NousResearch/Hermes-2-Pro-Mistral-7B
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- lora
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- transformers
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- 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. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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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).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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### Framework versions
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- PEFT 0.16.0
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adapter_config.json
ADDED
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{
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| 2 |
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"alpha_pattern": {},
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| 3 |
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"auto_mapping": null,
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| 4 |
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"base_model_name_or_path": "NousResearch/Hermes-2-Pro-Mistral-7B",
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| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
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"eva_config": null,
|
| 8 |
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"exclude_modules": null,
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| 9 |
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"fan_in_fan_out": false,
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| 10 |
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"inference_mode": true,
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| 11 |
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"init_lora_weights": true,
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| 12 |
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"layer_replication": null,
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| 13 |
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"layers_pattern": null,
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| 14 |
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"layers_to_transform": null,
|
| 15 |
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"loftq_config": {},
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| 16 |
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"lora_alpha": 16,
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| 17 |
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"lora_bias": false,
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| 18 |
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"lora_dropout": 0.1,
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| 19 |
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"megatron_config": null,
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| 20 |
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"megatron_core": "megatron.core",
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| 21 |
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"modules_to_save": null,
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| 22 |
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"peft_type": "LORA",
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| 23 |
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"qalora_group_size": 16,
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| 24 |
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"r": 8,
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| 25 |
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"rank_pattern": {},
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| 26 |
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"revision": null,
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| 27 |
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"target_modules": [
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| 28 |
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"v_proj",
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| 29 |
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"q_proj"
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],
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"task_type": "CAUSAL_LM",
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| 32 |
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"trainable_token_indices": null,
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| 33 |
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"use_dora": false,
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| 34 |
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"use_qalora": false,
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| 35 |
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"use_rslora": false
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}
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adapter_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:e0b3320a8688d812a357067b2d75ddde687f14b7ddabbbf35894784240e23686
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size 13648432
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added_tokens.json
ADDED
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<pad10>": 32010,
|
| 3 |
+
"<pad11>": 32011,
|
| 4 |
+
"<pad12>": 32012,
|
| 5 |
+
"<pad13>": 32013,
|
| 6 |
+
"<pad14>": 32014,
|
| 7 |
+
"<pad15>": 32015,
|
| 8 |
+
"<pad16>": 32016,
|
| 9 |
+
"<pad17>": 32017,
|
| 10 |
+
"<pad18>": 32018,
|
| 11 |
+
"<pad19>": 32019,
|
| 12 |
+
"<pad20>": 32020,
|
| 13 |
+
"<pad21>": 32021,
|
| 14 |
+
"<pad22>": 32022,
|
| 15 |
+
"<pad23>": 32023,
|
| 16 |
+
"<pad24>": 32024,
|
| 17 |
+
"<pad25>": 32025,
|
| 18 |
+
"<pad26>": 32026,
|
| 19 |
+
"<pad27>": 32027,
|
| 20 |
+
"<pad28>": 32028,
|
| 21 |
+
"<pad29>": 32029,
|
| 22 |
+
"<pad2>": 32002,
|
| 23 |
+
"<pad30>": 32030,
|
| 24 |
+
"<pad31>": 32031,
|
| 25 |
+
"<pad3>": 32003,
|
| 26 |
+
"<pad4>": 32004,
|
| 27 |
+
"<pad5>": 32005,
|
| 28 |
+
"<pad6>": 32006,
|
| 29 |
+
"<pad7>": 32007,
|
| 30 |
+
"<pad8>": 32008,
|
| 31 |
+
"<pad9>": 32009,
|
| 32 |
+
"<|im_end|>": 32000,
|
| 33 |
+
"<|im_start|>": 32001
|
| 34 |
+
}
|
additional_chat_templates/tool_use.jinja
ADDED
|
@@ -0,0 +1,152 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- macro json_to_python_type(json_spec) %}
|
| 2 |
+
{%- set basic_type_map = {
|
| 3 |
+
"string": "str",
|
| 4 |
+
"number": "float",
|
| 5 |
+
"integer": "int",
|
| 6 |
+
"boolean": "bool"
|
| 7 |
+
} %}
|
| 8 |
+
|
| 9 |
+
{%- if basic_type_map[json_spec.type] is defined %}
|
| 10 |
+
{{- basic_type_map[json_spec.type] }}
|
| 11 |
+
{%- elif json_spec.type == "array" %}
|
| 12 |
+
{{- "list[" + json_to_python_type(json_spec|items) + "]"}}
|
| 13 |
+
{%- elif json_spec.type == "object" %}
|
| 14 |
+
{%- if json_spec.additionalProperties is defined %}
|
| 15 |
+
{{- "dict[str, " + json_to_python_type(json_spec.additionalProperties) + ']'}}
|
| 16 |
+
{%- else %}
|
| 17 |
+
{{- "dict" }}
|
| 18 |
+
{%- endif %}
|
| 19 |
+
{%- elif json_spec.type is iterable %}
|
| 20 |
+
{{- "Union[" }}
|
| 21 |
+
{%- for t in json_spec.type %}
|
| 22 |
+
{{- json_to_python_type({"type": t}) }}
|
| 23 |
+
{%- if not loop.last %}
|
| 24 |
+
{{- "," }}
|
| 25 |
+
{%- endif %}
|
| 26 |
+
{%- endfor %}
|
| 27 |
+
{{- "]" }}
|
| 28 |
+
{%- else %}
|
| 29 |
+
{{- "Any" }}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{%- endmacro %}
|
| 32 |
+
|
| 33 |
+
|
| 34 |
+
{{- bos_token }}
|
| 35 |
+
{{- '<|im_start|>system
|
| 36 |
+
' }}
|
| 37 |
+
{{- "You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools: <tools> " }}
|
| 38 |
+
{%- for tool in tools %}
|
| 39 |
+
{%- if tool.function is defined %}
|
| 40 |
+
{%- set tool = tool.function %}
|
| 41 |
+
{%- endif %}
|
| 42 |
+
{{- '{"type": "function", "function": ' }}
|
| 43 |
+
{{- '{"name": "' + tool.name + '", ' }}
|
| 44 |
+
{{- '"description": "' + tool.name + '(' }}
|
| 45 |
+
{%- for param_name, param_fields in tool.parameters.properties|items %}
|
| 46 |
+
{{- param_name + ": " + json_to_python_type(param_fields) }}
|
| 47 |
+
{%- if not loop.last %}
|
| 48 |
+
{{- ", " }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endfor %}
|
| 51 |
+
{{- ")" }}
|
| 52 |
+
{%- if tool.return is defined %}
|
| 53 |
+
{{- " -> " + json_to_python_type(tool.return) }}
|
| 54 |
+
{%- endif %}
|
| 55 |
+
{{- " - " + tool.description + "
|
| 56 |
+
|
| 57 |
+
" }}
|
| 58 |
+
{%- for param_name, param_fields in tool.parameters.properties|items %}
|
| 59 |
+
{%- if loop.first %}
|
| 60 |
+
{{- " Args:
|
| 61 |
+
" }}
|
| 62 |
+
{%- endif %}
|
| 63 |
+
{{- " " + param_name + "(" + json_to_python_type(param_fields) + "): " + param_fields.description|trim }}
|
| 64 |
+
{%- endfor %}
|
| 65 |
+
{%- if tool.return is defined and tool.return.description is defined %}
|
| 66 |
+
{{- "
|
| 67 |
+
Returns:
|
| 68 |
+
" + tool.return.description }}
|
| 69 |
+
{%- endif %}
|
| 70 |
+
{{- '"' }}
|
| 71 |
+
{{- ', "parameters": ' }}
|
| 72 |
+
{%- if tool.parameters.properties | length == 0 %}
|
| 73 |
+
{{- "{}" }}
|
| 74 |
+
{%- else %}
|
| 75 |
+
{{- tool.parameters|tojson }}
|
| 76 |
+
{%- endif %}
|
| 77 |
+
{{- "}" }}
|
| 78 |
+
{%- if not loop.last %}
|
| 79 |
+
{{- "
|
| 80 |
+
" }}
|
| 81 |
+
{%- endif %}
|
| 82 |
+
{%- endfor %}
|
| 83 |
+
{{- " </tools>" }}
|
| 84 |
+
{{- 'Use the following pydantic model json schema for each tool call you will make: {"properties": {"name": {"title": "Name", "type": "string"}, "arguments": {"title": "Arguments", "type": "object"}}, "required": ["name", "arguments"], "title": "FunctionCall", "type": "object"}}
|
| 85 |
+
' }}
|
| 86 |
+
{{- "For each function call return a json object with function name and arguments within <tool_call></tool_call> XML tags as follows:
|
| 87 |
+
" }}
|
| 88 |
+
{{- "<tool_call>
|
| 89 |
+
" }}
|
| 90 |
+
{{- '{"name": <function-name>, "arguments": <args-dict>}
|
| 91 |
+
' }}
|
| 92 |
+
{{- '</tool_call><|im_end|>
|
| 93 |
+
' }}
|
| 94 |
+
{%- for message in messages %}
|
| 95 |
+
{%- if message.role == "user" or message.role == "system" or (message.role == "assistant" and message.tool_calls is not defined) %}
|
| 96 |
+
{{- '<|im_start|>' + message.role + '
|
| 97 |
+
' + message.content + '<|im_end|>' + '
|
| 98 |
+
' }}
|
| 99 |
+
{%- elif message.role == "assistant" %}
|
| 100 |
+
{{- '<|im_start|>' + message.role }}
|
| 101 |
+
{%- for tool_call in message.tool_calls %}
|
| 102 |
+
{{- '
|
| 103 |
+
<tool_call>
|
| 104 |
+
' }} {%- if tool_call.function is defined %}
|
| 105 |
+
{%- set tool_call = tool_call.function %}
|
| 106 |
+
{%- endif %}
|
| 107 |
+
{{- '{' }}
|
| 108 |
+
{{- '"name": "' }}
|
| 109 |
+
{{- tool_call.name }}
|
| 110 |
+
{{- '"' }}
|
| 111 |
+
{{- ', '}}
|
| 112 |
+
{%- if tool_call.arguments is defined %}
|
| 113 |
+
{{- '"arguments": ' }}
|
| 114 |
+
{%- if tool_call.arguments is string %}
|
| 115 |
+
{{- tool_call.arguments }}
|
| 116 |
+
{%- else %}
|
| 117 |
+
{{- tool_call.arguments|tojson }}
|
| 118 |
+
{%- endif %}
|
| 119 |
+
{%- endif %}
|
| 120 |
+
{{- '}' }}
|
| 121 |
+
{{- '
|
| 122 |
+
</tool_call>' }}
|
| 123 |
+
{%- endfor %}
|
| 124 |
+
{{- '<|im_end|>
|
| 125 |
+
' }}
|
| 126 |
+
{%- elif message.role == "tool" %}
|
| 127 |
+
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 128 |
+
{{- '<|im_start|>tool
|
| 129 |
+
' }}
|
| 130 |
+
{%- endif %}
|
| 131 |
+
{{- '<tool_response>
|
| 132 |
+
' }}
|
| 133 |
+
{{- message.content }}
|
| 134 |
+
{%- if not loop.last %}
|
| 135 |
+
{{- '
|
| 136 |
+
</tool_response>
|
| 137 |
+
' }}
|
| 138 |
+
{%- else %}
|
| 139 |
+
{{- '
|
| 140 |
+
</tool_response>' }}
|
| 141 |
+
{%- endif %}
|
| 142 |
+
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 143 |
+
{{- '<|im_end|>' }}
|
| 144 |
+
{%- elif loop.last %}
|
| 145 |
+
{{- '<|im_end|>' }}
|
| 146 |
+
{%- endif %}
|
| 147 |
+
{%- endif %}
|
| 148 |
+
{%- endfor %}
|
| 149 |
+
{%- if add_generation_prompt %}
|
| 150 |
+
{{- '<|im_start|>assistant
|
| 151 |
+
' }}
|
| 152 |
+
{%- endif %}
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{{bos_token}}{% for message in messages %}{{'<|im_start|>' + message['role'] + '
|
| 2 |
+
' + message['content'] + '<|im_end|>' + '
|
| 3 |
+
'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
|
| 4 |
+
' }}{% endif %}
|
runs/Aug06_13-58-04_1c23a5658fd6/events.out.tfevents.1754488686.1c23a5658fd6.2481.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:518923fcd1143061527b1a7fbbb397077104cb007e459621e9f31ecdc17308e2
|
| 3 |
+
size 5500
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|im_end|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "</s>",
|
| 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.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
| 3 |
+
size 493443
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,301 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": true,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"0": {
|
| 7 |
+
"content": "<unk>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"1": {
|
| 15 |
+
"content": "<s>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"2": {
|
| 23 |
+
"content": "</s>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
},
|
| 30 |
+
"32000": {
|
| 31 |
+
"content": "<|im_end|>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false,
|
| 36 |
+
"special": true
|
| 37 |
+
},
|
| 38 |
+
"32001": {
|
| 39 |
+
"content": "<|im_start|>",
|
| 40 |
+
"lstrip": false,
|
| 41 |
+
"normalized": false,
|
| 42 |
+
"rstrip": false,
|
| 43 |
+
"single_word": false,
|
| 44 |
+
"special": false
|
| 45 |
+
},
|
| 46 |
+
"32002": {
|
| 47 |
+
"content": "<pad2>",
|
| 48 |
+
"lstrip": false,
|
| 49 |
+
"normalized": false,
|
| 50 |
+
"rstrip": false,
|
| 51 |
+
"single_word": false,
|
| 52 |
+
"special": false
|
| 53 |
+
},
|
| 54 |
+
"32003": {
|
| 55 |
+
"content": "<pad3>",
|
| 56 |
+
"lstrip": false,
|
| 57 |
+
"normalized": false,
|
| 58 |
+
"rstrip": false,
|
| 59 |
+
"single_word": false,
|
| 60 |
+
"special": false
|
| 61 |
+
},
|
| 62 |
+
"32004": {
|
| 63 |
+
"content": "<pad4>",
|
| 64 |
+
"lstrip": false,
|
| 65 |
+
"normalized": false,
|
| 66 |
+
"rstrip": false,
|
| 67 |
+
"single_word": false,
|
| 68 |
+
"special": false
|
| 69 |
+
},
|
| 70 |
+
"32005": {
|
| 71 |
+
"content": "<pad5>",
|
| 72 |
+
"lstrip": false,
|
| 73 |
+
"normalized": false,
|
| 74 |
+
"rstrip": false,
|
| 75 |
+
"single_word": false,
|
| 76 |
+
"special": false
|
| 77 |
+
},
|
| 78 |
+
"32006": {
|
| 79 |
+
"content": "<pad6>",
|
| 80 |
+
"lstrip": false,
|
| 81 |
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"normalized": false,
|
| 82 |
+
"rstrip": false,
|
| 83 |
+
"single_word": false,
|
| 84 |
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"special": false
|
| 85 |
+
},
|
| 86 |
+
"32007": {
|
| 87 |
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"content": "<pad7>",
|
| 88 |
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"lstrip": false,
|
| 89 |
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"normalized": false,
|
| 90 |
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"rstrip": false,
|
| 91 |
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"single_word": false,
|
| 92 |
+
"special": false
|
| 93 |
+
},
|
| 94 |
+
"32008": {
|
| 95 |
+
"content": "<pad8>",
|
| 96 |
+
"lstrip": false,
|
| 97 |
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"normalized": false,
|
| 98 |
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"rstrip": false,
|
| 99 |
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"single_word": false,
|
| 100 |
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"special": false
|
| 101 |
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},
|
| 102 |
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"32009": {
|
| 103 |
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"content": "<pad9>",
|
| 104 |
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"lstrip": false,
|
| 105 |
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"normalized": false,
|
| 106 |
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"rstrip": false,
|
| 107 |
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"single_word": false,
|
| 108 |
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"special": false
|
| 109 |
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},
|
| 110 |
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"32010": {
|
| 111 |
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"content": "<pad10>",
|
| 112 |
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"lstrip": false,
|
| 113 |
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"normalized": false,
|
| 114 |
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"rstrip": false,
|
| 115 |
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|
| 116 |
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"special": false
|
| 117 |
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},
|
| 118 |
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"32011": {
|
| 119 |
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"content": "<pad11>",
|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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},
|
| 126 |
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|
| 127 |
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"content": "<pad12>",
|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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| 133 |
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|
| 134 |
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|
| 135 |
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"content": "<pad13>",
|
| 136 |
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|
| 137 |
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"normalized": false,
|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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},
|
| 142 |
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|
| 143 |
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"content": "<pad14>",
|
| 144 |
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"lstrip": false,
|
| 145 |
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"normalized": false,
|
| 146 |
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|
| 147 |
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|
| 148 |
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"special": false
|
| 149 |
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},
|
| 150 |
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"32015": {
|
| 151 |
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"content": "<pad15>",
|
| 152 |
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"lstrip": false,
|
| 153 |
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"normalized": false,
|
| 154 |
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"rstrip": false,
|
| 155 |
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"single_word": false,
|
| 156 |
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"special": false
|
| 157 |
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},
|
| 158 |
+
"32016": {
|
| 159 |
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"content": "<pad16>",
|
| 160 |
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"lstrip": false,
|
| 161 |
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"normalized": false,
|
| 162 |
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"rstrip": false,
|
| 163 |
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"single_word": false,
|
| 164 |
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"special": false
|
| 165 |
+
},
|
| 166 |
+
"32017": {
|
| 167 |
+
"content": "<pad17>",
|
| 168 |
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"lstrip": false,
|
| 169 |
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"normalized": false,
|
| 170 |
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"rstrip": false,
|
| 171 |
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|
| 172 |
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"special": false
|
| 173 |
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},
|
| 174 |
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"32018": {
|
| 175 |
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"content": "<pad18>",
|
| 176 |
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"lstrip": false,
|
| 177 |
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"normalized": false,
|
| 178 |
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"rstrip": false,
|
| 179 |
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"single_word": false,
|
| 180 |
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"special": false
|
| 181 |
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},
|
| 182 |
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"32019": {
|
| 183 |
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"content": "<pad19>",
|
| 184 |
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"lstrip": false,
|
| 185 |
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"normalized": false,
|
| 186 |
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|
| 187 |
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|
| 188 |
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"special": false
|
| 189 |
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|
| 190 |
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"32020": {
|
| 191 |
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"content": "<pad20>",
|
| 192 |
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|
| 193 |
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"normalized": false,
|
| 194 |
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|
| 195 |
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|
| 196 |
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"special": false
|
| 197 |
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},
|
| 198 |
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"32021": {
|
| 199 |
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"content": "<pad21>",
|
| 200 |
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"lstrip": false,
|
| 201 |
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|
| 202 |
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|
| 203 |
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|
| 204 |
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"special": false
|
| 205 |
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},
|
| 206 |
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"32022": {
|
| 207 |
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"content": "<pad22>",
|
| 208 |
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|
| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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|
| 213 |
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|
| 214 |
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|
| 215 |
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"content": "<pad23>",
|
| 216 |
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|
| 217 |
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|
| 218 |
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|
| 219 |
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|
| 220 |
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|
| 221 |
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|
| 222 |
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|
| 223 |
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"content": "<pad24>",
|
| 224 |
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|
| 225 |
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"normalized": false,
|
| 226 |
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|
| 227 |
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|
| 228 |
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"special": false
|
| 229 |
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},
|
| 230 |
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"32025": {
|
| 231 |
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"content": "<pad25>",
|
| 232 |
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|
| 233 |
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|
| 234 |
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| 235 |
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| 236 |
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|
| 237 |
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|
| 238 |
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"32026": {
|
| 239 |
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"content": "<pad26>",
|
| 240 |
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|
| 241 |
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"normalized": false,
|
| 242 |
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| 243 |
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|
| 244 |
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"special": false
|
| 245 |
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},
|
| 246 |
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"32027": {
|
| 247 |
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"content": "<pad27>",
|
| 248 |
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|
| 249 |
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|
| 250 |
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| 251 |
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|
| 252 |
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|
| 253 |
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|
| 254 |
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|
| 255 |
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|
| 256 |
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|
| 257 |
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|
| 258 |
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| 259 |
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| 260 |
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|
| 261 |
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| 262 |
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| 263 |
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"content": "<pad29>",
|
| 264 |
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| 265 |
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| 266 |
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| 267 |
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|
| 268 |
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|
| 269 |
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|
| 270 |
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|
| 271 |
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|
| 272 |
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| 273 |
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| 274 |
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| 275 |
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| 276 |
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| 277 |
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| 278 |
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| 279 |
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| 280 |
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| 281 |
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| 282 |
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| 283 |
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|
| 284 |
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"special": false
|
| 285 |
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}
|
| 286 |
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},
|
| 287 |
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"additional_special_tokens": [],
|
| 288 |
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"bos_token": "<s>",
|
| 289 |
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"clean_up_tokenization_spaces": true,
|
| 290 |
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"eos_token": "<|im_end|>",
|
| 291 |
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"extra_special_tokens": {},
|
| 292 |
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"legacy": true,
|
| 293 |
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"model_max_length": 1000000000000000019884624838656,
|
| 294 |
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"pad_token": "</s>",
|
| 295 |
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"sp_model_kwargs": {},
|
| 296 |
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"spaces_between_special_tokens": false,
|
| 297 |
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"tokenizer_class": "LlamaTokenizer",
|
| 298 |
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"unk_token": "<unk>",
|
| 299 |
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"use_default_system_prompt": false,
|
| 300 |
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"use_fast": true
|
| 301 |
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}
|