Text Generation
Transformers
Safetensors
mistral
lora
sft
trl
unsloth
conversational
text-generation-inference
Instructions to use mindfossil/telecom-intelligence-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mindfossil/telecom-intelligence-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="mindfossil/telecom-intelligence-model") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("mindfossil/telecom-intelligence-model") model = AutoModelForCausalLM.from_pretrained("mindfossil/telecom-intelligence-model", 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=256) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use mindfossil/telecom-intelligence-model with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "mindfossil/telecom-intelligence-model" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mindfossil/telecom-intelligence-model", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/mindfossil/telecom-intelligence-model
- SGLang
How to use mindfossil/telecom-intelligence-model 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 "mindfossil/telecom-intelligence-model" \ --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": "mindfossil/telecom-intelligence-model", "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 "mindfossil/telecom-intelligence-model" \ --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": "mindfossil/telecom-intelligence-model", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Unsloth Desktop
- Docker Model Runner
How to use mindfossil/telecom-intelligence-model with Docker Model Runner:
docker model run hf.co/mindfossil/telecom-intelligence-model
Upload folder using huggingface_hub
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- README.md +62 -0
- adapter_config.json +42 -0
- adapter_model.safetensors +3 -0
- chat_template.jinja +87 -0
- checkpoint-108/README.md +209 -0
- checkpoint-108/adapter_config.json +42 -0
- checkpoint-108/adapter_model.safetensors +3 -0
- checkpoint-108/chat_template.jinja +87 -0
- checkpoint-108/optimizer.pt +3 -0
- checkpoint-108/rng_state.pth +3 -0
- checkpoint-108/scheduler.pt +3 -0
- checkpoint-108/special_tokens_map.json +24 -0
- checkpoint-108/tokenizer.json +0 -0
- checkpoint-108/tokenizer.model +3 -0
- checkpoint-108/tokenizer_config.json +0 -0
- checkpoint-108/trainer_state.json +178 -0
- checkpoint-108/training_args.bin +3 -0
- checkpoint-27/README.md +209 -0
- checkpoint-27/adapter_config.json +42 -0
- checkpoint-27/adapter_model.safetensors +3 -0
- checkpoint-27/chat_template.jinja +87 -0
- checkpoint-27/optimizer.pt +3 -0
- checkpoint-27/rng_state.pth +3 -0
- checkpoint-27/scheduler.pt +3 -0
- checkpoint-27/special_tokens_map.json +24 -0
- checkpoint-27/tokenizer.json +0 -0
- checkpoint-27/tokenizer.model +3 -0
- checkpoint-27/tokenizer_config.json +0 -0
- checkpoint-27/trainer_state.json +65 -0
- checkpoint-27/training_args.bin +3 -0
- checkpoint-54/README.md +209 -0
- checkpoint-54/adapter_config.json +42 -0
- checkpoint-54/adapter_model.safetensors +3 -0
- checkpoint-54/chat_template.jinja +87 -0
- checkpoint-54/optimizer.pt +3 -0
- checkpoint-54/rng_state.pth +3 -0
- checkpoint-54/scheduler.pt +3 -0
- checkpoint-54/special_tokens_map.json +24 -0
- checkpoint-54/tokenizer.json +0 -0
- checkpoint-54/tokenizer.model +3 -0
- checkpoint-54/tokenizer_config.json +0 -0
- checkpoint-54/trainer_state.json +106 -0
- checkpoint-54/training_args.bin +3 -0
- checkpoint-81/README.md +209 -0
- checkpoint-81/adapter_config.json +42 -0
- checkpoint-81/adapter_model.safetensors +3 -0
- checkpoint-81/chat_template.jinja +87 -0
- checkpoint-81/optimizer.pt +3 -0
- checkpoint-81/rng_state.pth +3 -0
- checkpoint-81/scheduler.pt +3 -0
README.md
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---
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base_model: mistralai/Mistral-7B-Instruct-v0.3
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library_name: peft
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model_name: telecom-intelligence-model
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tags:
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- base_model:adapter:mistralai/Mistral-7B-Instruct-v0.3
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- lora
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- sft
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- transformers
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- trl
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licence: license
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pipeline_tag: text-generation
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---
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# Model Card for telecom-intelligence-model
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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generator = pipeline("text-generation", model="None", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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This model was trained with SFT.
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### Framework versions
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- PEFT 0.17.1
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- TRL: 0.24.0
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- Transformers: 4.57.6
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- Pytorch: 2.8.0
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- Datasets: 4.5.0
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- Tokenizers: 0.22.2
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## Citations
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Cite TRL as:
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```bibtex
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@misc{vonwerra2022trl,
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title = {{TRL: Transformer Reinforcement Learning}},
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author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
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year = 2020,
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journal = {GitHub repository},
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publisher = {GitHub},
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howpublished = {\url{https://github.com/huggingface/trl}}
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}
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```
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
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"bias": "none",
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"corda_config": null,
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_bias": false,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"qalora_group_size": 16,
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"gate_proj",
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"q_proj",
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"up_proj",
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"k_proj",
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"o_proj",
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"down_proj",
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"v_proj"
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],
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"use_dora": false,
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"use_qalora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:37a2ff5b1e4e39f2b87c32bbe0ff649d98325a48d99feac142e14f55ae95025e
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size 167832240
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chat_template.jinja
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{%- if messages[0]["role"] == "system" %}
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{%- set system_message = messages[0]["content"] %}
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{%- set loop_messages = messages[1:] %}
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{%- else %}
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{%- set loop_messages = messages %}
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{%- endif %}
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{%- if not tools is defined %}
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{%- set tools = none %}
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{%- endif %}
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{%- set user_messages = loop_messages | selectattr("role", "equalto", "user") | list %}
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{#- This block checks for alternating user/assistant messages, skipping tool calling messages #}
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{%- set ns = namespace() %}
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{%- set ns.index = 0 %}
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{%- for message in loop_messages %}
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{%- if not (message.role == "tool" or message.role == "tool_results" or (message.tool_calls is defined and message.tool_calls is not none)) %}
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{%- if (message["role"] == "user") != (ns.index % 2 == 0) %}
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{{- raise_exception("After the optional system message, conversation roles must alternate user/assistant/user/assistant/...") }}
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{%- endif %}
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{%- set ns.index = ns.index + 1 %}
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{%- endif %}
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{%- endfor %}
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{{- bos_token }}
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{%- for message in loop_messages %}
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{%- if message["role"] == "user" %}
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{%- if tools is not none and (message == user_messages[-1]) %}
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{{- "[AVAILABLE_TOOLS] [" }}
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{%- for tool in tools %}
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{%- set tool = tool.function %}
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{{- '{"type": "function", "function": {' }}
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{%- for key, val in tool.items() if key != "return" %}
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{%- if val is string %}
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{{- '"' + key + '": "' + val + '"' }}
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{%- else %}
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{{- '"' + key + '": ' + val|tojson }}
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{%- endif %}
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{%- if not loop.last %}
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{{- ", " }}
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{%- endif %}
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{%- endfor %}
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{{- "}}" }}
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{%- if not loop.last %}
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| 44 |
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{{- ", " }}
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{%- else %}
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{{- "]" }}
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{%- endif %}
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{%- endfor %}
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{{- "[/AVAILABLE_TOOLS]" }}
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| 50 |
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{%- endif %}
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{%- if loop.last and system_message is defined %}
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{{- "[INST] " + system_message + "\n\n" + message["content"] + "[/INST]" }}
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{%- else %}
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| 54 |
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{{- "[INST] " + message["content"] + "[/INST]" }}
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| 55 |
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{%- endif %}
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| 56 |
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{%- elif message.tool_calls is defined and message.tool_calls is not none %}
|
| 57 |
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{{- "[TOOL_CALLS] [" }}
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| 58 |
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{%- for tool_call in message.tool_calls %}
|
| 59 |
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{%- set out = tool_call.function|tojson %}
|
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{{- out[:-1] }}
|
| 61 |
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{%- if not tool_call.id is defined or tool_call.id|length != 9 %}
|
| 62 |
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{{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
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| 63 |
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{%- endif %}
|
| 64 |
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{{- ', "id": "' + tool_call.id + '"}' }}
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| 65 |
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{%- if not loop.last %}
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| 66 |
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{{- ", " }}
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| 67 |
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{%- else %}
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| 68 |
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{{- "]" + eos_token }}
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| 69 |
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{%- endif %}
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| 70 |
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{%- endfor %}
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| 71 |
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{%- elif message["role"] == "assistant" %}
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| 72 |
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{{- " " + message["content"]|trim + eos_token}}
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| 73 |
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{%- elif message["role"] == "tool_results" or message["role"] == "tool" %}
|
| 74 |
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{%- if message.content is defined and message.content.content is defined %}
|
| 75 |
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{%- set content = message.content.content %}
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{%- else %}
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| 77 |
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{%- set content = message.content %}
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| 78 |
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{%- endif %}
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| 79 |
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{{- '[TOOL_RESULTS] {"content": ' + content|string + ", " }}
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| 80 |
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{%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %}
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| 81 |
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{{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
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| 82 |
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{%- endif %}
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| 83 |
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{{- '"call_id": "' + message.tool_call_id + '"}[/TOOL_RESULTS]' }}
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| 84 |
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{%- else %}
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| 85 |
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{{- raise_exception("Only user and assistant roles are supported, with the exception of an initial optional system message!") }}
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| 86 |
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{%- endif %}
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| 87 |
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{%- endfor %}
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checkpoint-108/README.md
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|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.3
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:mistralai/Mistral-7B-Instruct-v0.3
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Model Card for Model ID
|
| 14 |
+
|
| 15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
## Model Details
|
| 20 |
+
|
| 21 |
+
### Model Description
|
| 22 |
+
|
| 23 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
- **Developed by:** [More Information Needed]
|
| 28 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 29 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 30 |
+
- **Model type:** [More Information Needed]
|
| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 32 |
+
- **License:** [More Information Needed]
|
| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
### Model Sources [optional]
|
| 36 |
+
|
| 37 |
+
<!-- Provide the basic links for the model. -->
|
| 38 |
+
|
| 39 |
+
- **Repository:** [More Information Needed]
|
| 40 |
+
- **Paper [optional]:** [More Information Needed]
|
| 41 |
+
- **Demo [optional]:** [More Information Needed]
|
| 42 |
+
|
| 43 |
+
## Uses
|
| 44 |
+
|
| 45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 46 |
+
|
| 47 |
+
### Direct Use
|
| 48 |
+
|
| 49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 50 |
+
|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
+
### Downstream Use [optional]
|
| 54 |
+
|
| 55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 56 |
+
|
| 57 |
+
[More Information Needed]
|
| 58 |
+
|
| 59 |
+
### Out-of-Scope Use
|
| 60 |
+
|
| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 62 |
+
|
| 63 |
+
[More Information Needed]
|
| 64 |
+
|
| 65 |
+
## Bias, Risks, and Limitations
|
| 66 |
+
|
| 67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 68 |
+
|
| 69 |
+
[More Information Needed]
|
| 70 |
+
|
| 71 |
+
### Recommendations
|
| 72 |
+
|
| 73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 74 |
+
|
| 75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 76 |
+
|
| 77 |
+
## How to Get Started with the Model
|
| 78 |
+
|
| 79 |
+
Use the code below to get started with the model.
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
## Training Details
|
| 84 |
+
|
| 85 |
+
### Training Data
|
| 86 |
+
|
| 87 |
+
<!-- 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. -->
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
### Training Procedure
|
| 92 |
+
|
| 93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 94 |
+
|
| 95 |
+
#### Preprocessing [optional]
|
| 96 |
+
|
| 97 |
+
[More Information Needed]
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
#### Training Hyperparameters
|
| 101 |
+
|
| 102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 103 |
+
|
| 104 |
+
#### Speeds, Sizes, Times [optional]
|
| 105 |
+
|
| 106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 107 |
+
|
| 108 |
+
[More Information Needed]
|
| 109 |
+
|
| 110 |
+
## Evaluation
|
| 111 |
+
|
| 112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 113 |
+
|
| 114 |
+
### Testing Data, Factors & Metrics
|
| 115 |
+
|
| 116 |
+
#### Testing Data
|
| 117 |
+
|
| 118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 119 |
+
|
| 120 |
+
[More Information Needed]
|
| 121 |
+
|
| 122 |
+
#### Factors
|
| 123 |
+
|
| 124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 125 |
+
|
| 126 |
+
[More Information Needed]
|
| 127 |
+
|
| 128 |
+
#### Metrics
|
| 129 |
+
|
| 130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 131 |
+
|
| 132 |
+
[More Information Needed]
|
| 133 |
+
|
| 134 |
+
### Results
|
| 135 |
+
|
| 136 |
+
[More Information Needed]
|
| 137 |
+
|
| 138 |
+
#### Summary
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
## Model Examination [optional]
|
| 143 |
+
|
| 144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 145 |
+
|
| 146 |
+
[More Information Needed]
|
| 147 |
+
|
| 148 |
+
## Environmental Impact
|
| 149 |
+
|
| 150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 151 |
+
|
| 152 |
+
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).
|
| 153 |
+
|
| 154 |
+
- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
+
- **Compute Region:** [More Information Needed]
|
| 158 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
|
| 160 |
+
## Technical Specifications [optional]
|
| 161 |
+
|
| 162 |
+
### Model Architecture and Objective
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
### Compute Infrastructure
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
#### Hardware
|
| 171 |
+
|
| 172 |
+
[More Information Needed]
|
| 173 |
+
|
| 174 |
+
#### Software
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
## Citation [optional]
|
| 179 |
+
|
| 180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
+
|
| 184 |
+
[More Information Needed]
|
| 185 |
+
|
| 186 |
+
**APA:**
|
| 187 |
+
|
| 188 |
+
[More Information Needed]
|
| 189 |
+
|
| 190 |
+
## Glossary [optional]
|
| 191 |
+
|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## More Information [optional]
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
## Model Card Authors [optional]
|
| 201 |
+
|
| 202 |
+
[More Information Needed]
|
| 203 |
+
|
| 204 |
+
## Model Card Contact
|
| 205 |
+
|
| 206 |
+
[More Information Needed]
|
| 207 |
+
### Framework versions
|
| 208 |
+
|
| 209 |
+
- PEFT 0.17.1
|
checkpoint-108/adapter_config.json
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 32,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.05,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
|
| 24 |
+
"r": 16,
|
| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
+
"target_modules": [
|
| 28 |
+
"gate_proj",
|
| 29 |
+
"q_proj",
|
| 30 |
+
"up_proj",
|
| 31 |
+
"k_proj",
|
| 32 |
+
"o_proj",
|
| 33 |
+
"down_proj",
|
| 34 |
+
"v_proj"
|
| 35 |
+
],
|
| 36 |
+
"target_parameters": null,
|
| 37 |
+
"task_type": "CAUSAL_LM",
|
| 38 |
+
"trainable_token_indices": null,
|
| 39 |
+
"use_dora": false,
|
| 40 |
+
"use_qalora": false,
|
| 41 |
+
"use_rslora": false
|
| 42 |
+
}
|
checkpoint-108/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:37a2ff5b1e4e39f2b87c32bbe0ff649d98325a48d99feac142e14f55ae95025e
|
| 3 |
+
size 167832240
|
checkpoint-108/chat_template.jinja
ADDED
|
@@ -0,0 +1,87 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
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|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
| 1 |
+
{%- if messages[0]["role"] == "system" %}
|
| 2 |
+
{%- set system_message = messages[0]["content"] %}
|
| 3 |
+
{%- set loop_messages = messages[1:] %}
|
| 4 |
+
{%- else %}
|
| 5 |
+
{%- set loop_messages = messages %}
|
| 6 |
+
{%- endif %}
|
| 7 |
+
{%- if not tools is defined %}
|
| 8 |
+
{%- set tools = none %}
|
| 9 |
+
{%- endif %}
|
| 10 |
+
{%- set user_messages = loop_messages | selectattr("role", "equalto", "user") | list %}
|
| 11 |
+
|
| 12 |
+
{#- This block checks for alternating user/assistant messages, skipping tool calling messages #}
|
| 13 |
+
{%- set ns = namespace() %}
|
| 14 |
+
{%- set ns.index = 0 %}
|
| 15 |
+
{%- for message in loop_messages %}
|
| 16 |
+
{%- if not (message.role == "tool" or message.role == "tool_results" or (message.tool_calls is defined and message.tool_calls is not none)) %}
|
| 17 |
+
{%- if (message["role"] == "user") != (ns.index % 2 == 0) %}
|
| 18 |
+
{{- raise_exception("After the optional system message, conversation roles must alternate user/assistant/user/assistant/...") }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- set ns.index = ns.index + 1 %}
|
| 21 |
+
{%- endif %}
|
| 22 |
+
{%- endfor %}
|
| 23 |
+
|
| 24 |
+
{{- bos_token }}
|
| 25 |
+
{%- for message in loop_messages %}
|
| 26 |
+
{%- if message["role"] == "user" %}
|
| 27 |
+
{%- if tools is not none and (message == user_messages[-1]) %}
|
| 28 |
+
{{- "[AVAILABLE_TOOLS] [" }}
|
| 29 |
+
{%- for tool in tools %}
|
| 30 |
+
{%- set tool = tool.function %}
|
| 31 |
+
{{- '{"type": "function", "function": {' }}
|
| 32 |
+
{%- for key, val in tool.items() if key != "return" %}
|
| 33 |
+
{%- if val is string %}
|
| 34 |
+
{{- '"' + key + '": "' + val + '"' }}
|
| 35 |
+
{%- else %}
|
| 36 |
+
{{- '"' + key + '": ' + val|tojson }}
|
| 37 |
+
{%- endif %}
|
| 38 |
+
{%- if not loop.last %}
|
| 39 |
+
{{- ", " }}
|
| 40 |
+
{%- endif %}
|
| 41 |
+
{%- endfor %}
|
| 42 |
+
{{- "}}" }}
|
| 43 |
+
{%- if not loop.last %}
|
| 44 |
+
{{- ", " }}
|
| 45 |
+
{%- else %}
|
| 46 |
+
{{- "]" }}
|
| 47 |
+
{%- endif %}
|
| 48 |
+
{%- endfor %}
|
| 49 |
+
{{- "[/AVAILABLE_TOOLS]" }}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- if loop.last and system_message is defined %}
|
| 52 |
+
{{- "[INST] " + system_message + "\n\n" + message["content"] + "[/INST]" }}
|
| 53 |
+
{%- else %}
|
| 54 |
+
{{- "[INST] " + message["content"] + "[/INST]" }}
|
| 55 |
+
{%- endif %}
|
| 56 |
+
{%- elif message.tool_calls is defined and message.tool_calls is not none %}
|
| 57 |
+
{{- "[TOOL_CALLS] [" }}
|
| 58 |
+
{%- for tool_call in message.tool_calls %}
|
| 59 |
+
{%- set out = tool_call.function|tojson %}
|
| 60 |
+
{{- out[:-1] }}
|
| 61 |
+
{%- if not tool_call.id is defined or tool_call.id|length != 9 %}
|
| 62 |
+
{{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
|
| 63 |
+
{%- endif %}
|
| 64 |
+
{{- ', "id": "' + tool_call.id + '"}' }}
|
| 65 |
+
{%- if not loop.last %}
|
| 66 |
+
{{- ", " }}
|
| 67 |
+
{%- else %}
|
| 68 |
+
{{- "]" + eos_token }}
|
| 69 |
+
{%- endif %}
|
| 70 |
+
{%- endfor %}
|
| 71 |
+
{%- elif message["role"] == "assistant" %}
|
| 72 |
+
{{- " " + message["content"]|trim + eos_token}}
|
| 73 |
+
{%- elif message["role"] == "tool_results" or message["role"] == "tool" %}
|
| 74 |
+
{%- if message.content is defined and message.content.content is defined %}
|
| 75 |
+
{%- set content = message.content.content %}
|
| 76 |
+
{%- else %}
|
| 77 |
+
{%- set content = message.content %}
|
| 78 |
+
{%- endif %}
|
| 79 |
+
{{- '[TOOL_RESULTS] {"content": ' + content|string + ", " }}
|
| 80 |
+
{%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %}
|
| 81 |
+
{{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
|
| 82 |
+
{%- endif %}
|
| 83 |
+
{{- '"call_id": "' + message.tool_call_id + '"}[/TOOL_RESULTS]' }}
|
| 84 |
+
{%- else %}
|
| 85 |
+
{{- raise_exception("Only user and assistant roles are supported, with the exception of an initial optional system message!") }}
|
| 86 |
+
{%- endif %}
|
| 87 |
+
{%- endfor %}
|
checkpoint-108/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:e03344c4dece7580af7522c2d25ead9a8015c053535eba4c5f29f19ef41fdfbf
|
| 3 |
+
size 335910307
|
checkpoint-108/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:67627e3b026c4c5d776980914bd7f99f2f9814ae6ac5a3bd1d93ee8d2ff6784f
|
| 3 |
+
size 14455
|
checkpoint-108/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:ddd36b4b4b1b4f66d837ae75ff24f8eb21814730390a80e8f6e171e063dc158f
|
| 3 |
+
size 1465
|
checkpoint-108/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
checkpoint-108/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-108/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
| 3 |
+
size 587404
|
checkpoint-108/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-108/trainer_state.json
ADDED
|
@@ -0,0 +1,178 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
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|
|
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|
|
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|
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|
|
|
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|
|
|
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|
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|
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|
|
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|
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|
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|
|
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|
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|
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|
|
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|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
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|
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|
|
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|
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|
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|
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|
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|
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|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
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"best_metric": null,
|
| 4 |
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|
| 5 |
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|
| 6 |
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"eval_steps": 500,
|
| 7 |
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"global_step": 108,
|
| 8 |
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"is_hyper_param_search": false,
|
| 9 |
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"is_local_process_zero": true,
|
| 10 |
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"is_world_process_zero": true,
|
| 11 |
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"log_history": [
|
| 12 |
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{
|
| 13 |
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"entropy": 1.180859375,
|
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| 20 |
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| 21 |
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{
|
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"num_tokens": 40960.0,
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| 30 |
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"step": 20
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| 31 |
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},
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| 32 |
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{
|
| 33 |
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"epoch": 1.0,
|
| 34 |
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"eval_entropy": 0.666015625,
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| 35 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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},
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| 43 |
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{
|
| 44 |
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| 50 |
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| 52 |
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| 53 |
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|
| 54 |
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| 62 |
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|
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| 71 |
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|
| 72 |
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| 73 |
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{
|
| 74 |
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|
| 75 |
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| 81 |
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| 82 |
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|
| 83 |
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},
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| 84 |
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{
|
| 85 |
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| 93 |
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{
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| 95 |
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| 103 |
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| 104 |
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{
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| 105 |
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| 113 |
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| 114 |
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| 116 |
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| 120 |
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| 122 |
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| 123 |
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| 124 |
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},
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| 125 |
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{
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| 126 |
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| 134 |
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{
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| 144 |
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| 147 |
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"eval_entropy": 0.29296875,
|
| 148 |
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"eval_loss": 0.6591059565544128,
|
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"eval_mean_token_accuracy": 0.8539628088474274,
|
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"eval_num_tokens": 221184.0,
|
| 151 |
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"eval_runtime": 170.1635,
|
| 152 |
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"eval_samples_per_second": 0.071,
|
| 153 |
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"eval_steps_per_second": 0.012,
|
| 154 |
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"step": 108
|
| 155 |
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}
|
| 156 |
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],
|
| 157 |
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"logging_steps": 10,
|
| 158 |
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|
| 159 |
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"num_input_tokens_seen": 0,
|
| 160 |
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"num_train_epochs": 4,
|
| 161 |
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|
| 162 |
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"stateful_callbacks": {
|
| 163 |
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|
| 164 |
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|
| 165 |
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| 167 |
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|
| 168 |
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|
| 169 |
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|
| 170 |
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|
| 171 |
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"attributes": {}
|
| 172 |
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|
| 173 |
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},
|
| 174 |
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|
| 177 |
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"trial_params": null
|
| 178 |
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}
|
checkpoint-108/training_args.bin
ADDED
|
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|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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| 3 |
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size 6225
|
checkpoint-27/README.md
ADDED
|
@@ -0,0 +1,209 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.3
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:mistralai/Mistral-7B-Instruct-v0.3
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Model Card for Model ID
|
| 14 |
+
|
| 15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
## Model Details
|
| 20 |
+
|
| 21 |
+
### Model Description
|
| 22 |
+
|
| 23 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
- **Developed by:** [More Information Needed]
|
| 28 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 29 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 30 |
+
- **Model type:** [More Information Needed]
|
| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 32 |
+
- **License:** [More Information Needed]
|
| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
### Model Sources [optional]
|
| 36 |
+
|
| 37 |
+
<!-- Provide the basic links for the model. -->
|
| 38 |
+
|
| 39 |
+
- **Repository:** [More Information Needed]
|
| 40 |
+
- **Paper [optional]:** [More Information Needed]
|
| 41 |
+
- **Demo [optional]:** [More Information Needed]
|
| 42 |
+
|
| 43 |
+
## Uses
|
| 44 |
+
|
| 45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 46 |
+
|
| 47 |
+
### Direct Use
|
| 48 |
+
|
| 49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 50 |
+
|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
+
### Downstream Use [optional]
|
| 54 |
+
|
| 55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 56 |
+
|
| 57 |
+
[More Information Needed]
|
| 58 |
+
|
| 59 |
+
### Out-of-Scope Use
|
| 60 |
+
|
| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 62 |
+
|
| 63 |
+
[More Information Needed]
|
| 64 |
+
|
| 65 |
+
## Bias, Risks, and Limitations
|
| 66 |
+
|
| 67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 68 |
+
|
| 69 |
+
[More Information Needed]
|
| 70 |
+
|
| 71 |
+
### Recommendations
|
| 72 |
+
|
| 73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 74 |
+
|
| 75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 76 |
+
|
| 77 |
+
## How to Get Started with the Model
|
| 78 |
+
|
| 79 |
+
Use the code below to get started with the model.
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
## Training Details
|
| 84 |
+
|
| 85 |
+
### Training Data
|
| 86 |
+
|
| 87 |
+
<!-- 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. -->
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
### Training Procedure
|
| 92 |
+
|
| 93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 94 |
+
|
| 95 |
+
#### Preprocessing [optional]
|
| 96 |
+
|
| 97 |
+
[More Information Needed]
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
#### Training Hyperparameters
|
| 101 |
+
|
| 102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 103 |
+
|
| 104 |
+
#### Speeds, Sizes, Times [optional]
|
| 105 |
+
|
| 106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 107 |
+
|
| 108 |
+
[More Information Needed]
|
| 109 |
+
|
| 110 |
+
## Evaluation
|
| 111 |
+
|
| 112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 113 |
+
|
| 114 |
+
### Testing Data, Factors & Metrics
|
| 115 |
+
|
| 116 |
+
#### Testing Data
|
| 117 |
+
|
| 118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 119 |
+
|
| 120 |
+
[More Information Needed]
|
| 121 |
+
|
| 122 |
+
#### Factors
|
| 123 |
+
|
| 124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 125 |
+
|
| 126 |
+
[More Information Needed]
|
| 127 |
+
|
| 128 |
+
#### Metrics
|
| 129 |
+
|
| 130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 131 |
+
|
| 132 |
+
[More Information Needed]
|
| 133 |
+
|
| 134 |
+
### Results
|
| 135 |
+
|
| 136 |
+
[More Information Needed]
|
| 137 |
+
|
| 138 |
+
#### Summary
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
## Model Examination [optional]
|
| 143 |
+
|
| 144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 145 |
+
|
| 146 |
+
[More Information Needed]
|
| 147 |
+
|
| 148 |
+
## Environmental Impact
|
| 149 |
+
|
| 150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 151 |
+
|
| 152 |
+
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).
|
| 153 |
+
|
| 154 |
+
- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
+
- **Compute Region:** [More Information Needed]
|
| 158 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
|
| 160 |
+
## Technical Specifications [optional]
|
| 161 |
+
|
| 162 |
+
### Model Architecture and Objective
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
### Compute Infrastructure
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
#### Hardware
|
| 171 |
+
|
| 172 |
+
[More Information Needed]
|
| 173 |
+
|
| 174 |
+
#### Software
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
## Citation [optional]
|
| 179 |
+
|
| 180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
+
|
| 184 |
+
[More Information Needed]
|
| 185 |
+
|
| 186 |
+
**APA:**
|
| 187 |
+
|
| 188 |
+
[More Information Needed]
|
| 189 |
+
|
| 190 |
+
## Glossary [optional]
|
| 191 |
+
|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## More Information [optional]
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
## Model Card Authors [optional]
|
| 201 |
+
|
| 202 |
+
[More Information Needed]
|
| 203 |
+
|
| 204 |
+
## Model Card Contact
|
| 205 |
+
|
| 206 |
+
[More Information Needed]
|
| 207 |
+
### Framework versions
|
| 208 |
+
|
| 209 |
+
- PEFT 0.17.1
|
checkpoint-27/adapter_config.json
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
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|
|
|
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|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 32,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.05,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
|
| 24 |
+
"r": 16,
|
| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
+
"target_modules": [
|
| 28 |
+
"gate_proj",
|
| 29 |
+
"q_proj",
|
| 30 |
+
"up_proj",
|
| 31 |
+
"k_proj",
|
| 32 |
+
"o_proj",
|
| 33 |
+
"down_proj",
|
| 34 |
+
"v_proj"
|
| 35 |
+
],
|
| 36 |
+
"target_parameters": null,
|
| 37 |
+
"task_type": "CAUSAL_LM",
|
| 38 |
+
"trainable_token_indices": null,
|
| 39 |
+
"use_dora": false,
|
| 40 |
+
"use_qalora": false,
|
| 41 |
+
"use_rslora": false
|
| 42 |
+
}
|
checkpoint-27/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:a9b1f64d2e477e3024d79d3b628c7eda474b28ae5f234de6d42fcb538d428435
|
| 3 |
+
size 167832240
|
checkpoint-27/chat_template.jinja
ADDED
|
@@ -0,0 +1,87 @@
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if messages[0]["role"] == "system" %}
|
| 2 |
+
{%- set system_message = messages[0]["content"] %}
|
| 3 |
+
{%- set loop_messages = messages[1:] %}
|
| 4 |
+
{%- else %}
|
| 5 |
+
{%- set loop_messages = messages %}
|
| 6 |
+
{%- endif %}
|
| 7 |
+
{%- if not tools is defined %}
|
| 8 |
+
{%- set tools = none %}
|
| 9 |
+
{%- endif %}
|
| 10 |
+
{%- set user_messages = loop_messages | selectattr("role", "equalto", "user") | list %}
|
| 11 |
+
|
| 12 |
+
{#- This block checks for alternating user/assistant messages, skipping tool calling messages #}
|
| 13 |
+
{%- set ns = namespace() %}
|
| 14 |
+
{%- set ns.index = 0 %}
|
| 15 |
+
{%- for message in loop_messages %}
|
| 16 |
+
{%- if not (message.role == "tool" or message.role == "tool_results" or (message.tool_calls is defined and message.tool_calls is not none)) %}
|
| 17 |
+
{%- if (message["role"] == "user") != (ns.index % 2 == 0) %}
|
| 18 |
+
{{- raise_exception("After the optional system message, conversation roles must alternate user/assistant/user/assistant/...") }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- set ns.index = ns.index + 1 %}
|
| 21 |
+
{%- endif %}
|
| 22 |
+
{%- endfor %}
|
| 23 |
+
|
| 24 |
+
{{- bos_token }}
|
| 25 |
+
{%- for message in loop_messages %}
|
| 26 |
+
{%- if message["role"] == "user" %}
|
| 27 |
+
{%- if tools is not none and (message == user_messages[-1]) %}
|
| 28 |
+
{{- "[AVAILABLE_TOOLS] [" }}
|
| 29 |
+
{%- for tool in tools %}
|
| 30 |
+
{%- set tool = tool.function %}
|
| 31 |
+
{{- '{"type": "function", "function": {' }}
|
| 32 |
+
{%- for key, val in tool.items() if key != "return" %}
|
| 33 |
+
{%- if val is string %}
|
| 34 |
+
{{- '"' + key + '": "' + val + '"' }}
|
| 35 |
+
{%- else %}
|
| 36 |
+
{{- '"' + key + '": ' + val|tojson }}
|
| 37 |
+
{%- endif %}
|
| 38 |
+
{%- if not loop.last %}
|
| 39 |
+
{{- ", " }}
|
| 40 |
+
{%- endif %}
|
| 41 |
+
{%- endfor %}
|
| 42 |
+
{{- "}}" }}
|
| 43 |
+
{%- if not loop.last %}
|
| 44 |
+
{{- ", " }}
|
| 45 |
+
{%- else %}
|
| 46 |
+
{{- "]" }}
|
| 47 |
+
{%- endif %}
|
| 48 |
+
{%- endfor %}
|
| 49 |
+
{{- "[/AVAILABLE_TOOLS]" }}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- if loop.last and system_message is defined %}
|
| 52 |
+
{{- "[INST] " + system_message + "\n\n" + message["content"] + "[/INST]" }}
|
| 53 |
+
{%- else %}
|
| 54 |
+
{{- "[INST] " + message["content"] + "[/INST]" }}
|
| 55 |
+
{%- endif %}
|
| 56 |
+
{%- elif message.tool_calls is defined and message.tool_calls is not none %}
|
| 57 |
+
{{- "[TOOL_CALLS] [" }}
|
| 58 |
+
{%- for tool_call in message.tool_calls %}
|
| 59 |
+
{%- set out = tool_call.function|tojson %}
|
| 60 |
+
{{- out[:-1] }}
|
| 61 |
+
{%- if not tool_call.id is defined or tool_call.id|length != 9 %}
|
| 62 |
+
{{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
|
| 63 |
+
{%- endif %}
|
| 64 |
+
{{- ', "id": "' + tool_call.id + '"}' }}
|
| 65 |
+
{%- if not loop.last %}
|
| 66 |
+
{{- ", " }}
|
| 67 |
+
{%- else %}
|
| 68 |
+
{{- "]" + eos_token }}
|
| 69 |
+
{%- endif %}
|
| 70 |
+
{%- endfor %}
|
| 71 |
+
{%- elif message["role"] == "assistant" %}
|
| 72 |
+
{{- " " + message["content"]|trim + eos_token}}
|
| 73 |
+
{%- elif message["role"] == "tool_results" or message["role"] == "tool" %}
|
| 74 |
+
{%- if message.content is defined and message.content.content is defined %}
|
| 75 |
+
{%- set content = message.content.content %}
|
| 76 |
+
{%- else %}
|
| 77 |
+
{%- set content = message.content %}
|
| 78 |
+
{%- endif %}
|
| 79 |
+
{{- '[TOOL_RESULTS] {"content": ' + content|string + ", " }}
|
| 80 |
+
{%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %}
|
| 81 |
+
{{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
|
| 82 |
+
{%- endif %}
|
| 83 |
+
{{- '"call_id": "' + message.tool_call_id + '"}[/TOOL_RESULTS]' }}
|
| 84 |
+
{%- else %}
|
| 85 |
+
{{- raise_exception("Only user and assistant roles are supported, with the exception of an initial optional system message!") }}
|
| 86 |
+
{%- endif %}
|
| 87 |
+
{%- endfor %}
|
checkpoint-27/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:19f777a6c16888f3406f4f5bbfb88e03253bb43ca0839ea530999b57be6e1345
|
| 3 |
+
size 335910307
|
checkpoint-27/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e3a77d4a8b98ce027a4d6a3b9fb5d7c904e27ec1efd5c0468c24fa26bb738316
|
| 3 |
+
size 14455
|
checkpoint-27/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e0fb04e98d2db929b67537ae081bbf29331ff2c17df0da7fa43f527fb81e1645
|
| 3 |
+
size 1465
|
checkpoint-27/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
checkpoint-27/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-27/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
| 3 |
+
size 587404
|
checkpoint-27/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-27/trainer_state.json
ADDED
|
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 1.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 27,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"entropy": 1.180859375,
|
| 14 |
+
"epoch": 0.37037037037037035,
|
| 15 |
+
"grad_norm": 1.9087318181991577,
|
| 16 |
+
"learning_rate": 0.00019886154122075343,
|
| 17 |
+
"loss": 1.3855,
|
| 18 |
+
"mean_token_accuracy": 0.709491191804409,
|
| 19 |
+
"num_tokens": 20480.0,
|
| 20 |
+
"step": 10
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"entropy": 0.77197265625,
|
| 24 |
+
"epoch": 0.7407407407407407,
|
| 25 |
+
"grad_norm": 1.5744595527648926,
|
| 26 |
+
"learning_rate": 0.00018990881137654258,
|
| 27 |
+
"loss": 0.8126,
|
| 28 |
+
"mean_token_accuracy": 0.8044520571827889,
|
| 29 |
+
"num_tokens": 40960.0,
|
| 30 |
+
"step": 20
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 1.0,
|
| 34 |
+
"eval_entropy": 0.666015625,
|
| 35 |
+
"eval_loss": 0.664973795413971,
|
| 36 |
+
"eval_mean_token_accuracy": 0.8258317112922668,
|
| 37 |
+
"eval_num_tokens": 55296.0,
|
| 38 |
+
"eval_runtime": 104.8748,
|
| 39 |
+
"eval_samples_per_second": 0.114,
|
| 40 |
+
"eval_steps_per_second": 0.019,
|
| 41 |
+
"step": 27
|
| 42 |
+
}
|
| 43 |
+
],
|
| 44 |
+
"logging_steps": 10,
|
| 45 |
+
"max_steps": 108,
|
| 46 |
+
"num_input_tokens_seen": 0,
|
| 47 |
+
"num_train_epochs": 4,
|
| 48 |
+
"save_steps": 500,
|
| 49 |
+
"stateful_callbacks": {
|
| 50 |
+
"TrainerControl": {
|
| 51 |
+
"args": {
|
| 52 |
+
"should_epoch_stop": false,
|
| 53 |
+
"should_evaluate": false,
|
| 54 |
+
"should_log": false,
|
| 55 |
+
"should_save": true,
|
| 56 |
+
"should_training_stop": false
|
| 57 |
+
},
|
| 58 |
+
"attributes": {}
|
| 59 |
+
}
|
| 60 |
+
},
|
| 61 |
+
"total_flos": 2374105735102464.0,
|
| 62 |
+
"train_batch_size": 1,
|
| 63 |
+
"trial_name": null,
|
| 64 |
+
"trial_params": null
|
| 65 |
+
}
|
checkpoint-27/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6b9716da69cf8bed3bf63edbaff56a417e2e7a383796d4042abaa65153d2d282
|
| 3 |
+
size 6225
|
checkpoint-54/README.md
ADDED
|
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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---
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base_model: mistralai/Mistral-7B-Instruct-v0.3
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| 3 |
+
library_name: peft
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| 4 |
+
pipeline_tag: text-generation
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| 5 |
+
tags:
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| 6 |
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- base_model:adapter:mistralai/Mistral-7B-Instruct-v0.3
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| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
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- transformers
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| 10 |
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- trl
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| 11 |
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---
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| 12 |
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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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+
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- **Developed by:** [More Information Needed]
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| 28 |
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- **Funded by [optional]:** [More Information Needed]
|
| 29 |
+
- **Shared by [optional]:** [More Information Needed]
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| 30 |
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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| 32 |
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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+
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### Model Sources [optional]
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| 36 |
+
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+
<!-- Provide the basic links for the model. -->
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+
|
| 39 |
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- **Repository:** [More Information Needed]
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| 40 |
+
- **Paper [optional]:** [More Information Needed]
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+
- **Demo [optional]:** [More Information Needed]
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| 42 |
+
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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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+
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### Downstream Use [optional]
|
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+
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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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+
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[More Information Needed]
|
| 58 |
+
|
| 59 |
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### Out-of-Scope Use
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| 60 |
+
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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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+
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## Bias, Risks, and Limitations
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+
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+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+
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[More Information Needed]
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+
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### Recommendations
|
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+
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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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+
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## How to Get Started with the Model
|
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+
|
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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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+
|
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## Training Details
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| 84 |
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### Training Data
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| 86 |
+
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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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+
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## Evaluation
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| 111 |
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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
|
| 117 |
+
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| 118 |
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<!-- This should link to a Dataset Card if possible. -->
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| 119 |
+
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[More Information Needed]
|
| 121 |
+
|
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#### Factors
|
| 123 |
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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]
|
| 127 |
+
|
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#### Metrics
|
| 129 |
+
|
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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]
|
| 143 |
+
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<!-- Relevant interpretability work for the model goes here -->
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+
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[More Information Needed]
|
| 147 |
+
|
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+
## Environmental Impact
|
| 149 |
+
|
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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).
|
| 153 |
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|
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- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
+
- **Compute Region:** [More Information Needed]
|
| 158 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
|
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## Technical Specifications [optional]
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+
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### Model Architecture and Objective
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+
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[More Information Needed]
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| 165 |
+
|
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### Compute Infrastructure
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| 167 |
+
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[More Information Needed]
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| 169 |
+
|
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#### Hardware
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| 171 |
+
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[More Information Needed]
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| 173 |
+
|
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#### Software
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+
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[More Information Needed]
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| 177 |
+
|
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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. -->
|
| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
+
|
| 184 |
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[More Information Needed]
|
| 185 |
+
|
| 186 |
+
**APA:**
|
| 187 |
+
|
| 188 |
+
[More Information Needed]
|
| 189 |
+
|
| 190 |
+
## Glossary [optional]
|
| 191 |
+
|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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| 193 |
+
|
| 194 |
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[More Information Needed]
|
| 195 |
+
|
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+
## More Information [optional]
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
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## Model Card Authors [optional]
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| 201 |
+
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| 202 |
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[More Information Needed]
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| 203 |
+
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| 204 |
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## Model Card Contact
|
| 205 |
+
|
| 206 |
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[More Information Needed]
|
| 207 |
+
### Framework versions
|
| 208 |
+
|
| 209 |
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- PEFT 0.17.1
|
checkpoint-54/adapter_config.json
ADDED
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@@ -0,0 +1,42 @@
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{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 32,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.05,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
|
| 24 |
+
"r": 16,
|
| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
+
"target_modules": [
|
| 28 |
+
"gate_proj",
|
| 29 |
+
"q_proj",
|
| 30 |
+
"up_proj",
|
| 31 |
+
"k_proj",
|
| 32 |
+
"o_proj",
|
| 33 |
+
"down_proj",
|
| 34 |
+
"v_proj"
|
| 35 |
+
],
|
| 36 |
+
"target_parameters": null,
|
| 37 |
+
"task_type": "CAUSAL_LM",
|
| 38 |
+
"trainable_token_indices": null,
|
| 39 |
+
"use_dora": false,
|
| 40 |
+
"use_qalora": false,
|
| 41 |
+
"use_rslora": false
|
| 42 |
+
}
|
checkpoint-54/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3c440f838d1dd3522bacfe16c44acfbced7dac710ffcd6d13eadb6e257a65de0
|
| 3 |
+
size 167832240
|
checkpoint-54/chat_template.jinja
ADDED
|
@@ -0,0 +1,87 @@
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| 1 |
+
{%- if messages[0]["role"] == "system" %}
|
| 2 |
+
{%- set system_message = messages[0]["content"] %}
|
| 3 |
+
{%- set loop_messages = messages[1:] %}
|
| 4 |
+
{%- else %}
|
| 5 |
+
{%- set loop_messages = messages %}
|
| 6 |
+
{%- endif %}
|
| 7 |
+
{%- if not tools is defined %}
|
| 8 |
+
{%- set tools = none %}
|
| 9 |
+
{%- endif %}
|
| 10 |
+
{%- set user_messages = loop_messages | selectattr("role", "equalto", "user") | list %}
|
| 11 |
+
|
| 12 |
+
{#- This block checks for alternating user/assistant messages, skipping tool calling messages #}
|
| 13 |
+
{%- set ns = namespace() %}
|
| 14 |
+
{%- set ns.index = 0 %}
|
| 15 |
+
{%- for message in loop_messages %}
|
| 16 |
+
{%- if not (message.role == "tool" or message.role == "tool_results" or (message.tool_calls is defined and message.tool_calls is not none)) %}
|
| 17 |
+
{%- if (message["role"] == "user") != (ns.index % 2 == 0) %}
|
| 18 |
+
{{- raise_exception("After the optional system message, conversation roles must alternate user/assistant/user/assistant/...") }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- set ns.index = ns.index + 1 %}
|
| 21 |
+
{%- endif %}
|
| 22 |
+
{%- endfor %}
|
| 23 |
+
|
| 24 |
+
{{- bos_token }}
|
| 25 |
+
{%- for message in loop_messages %}
|
| 26 |
+
{%- if message["role"] == "user" %}
|
| 27 |
+
{%- if tools is not none and (message == user_messages[-1]) %}
|
| 28 |
+
{{- "[AVAILABLE_TOOLS] [" }}
|
| 29 |
+
{%- for tool in tools %}
|
| 30 |
+
{%- set tool = tool.function %}
|
| 31 |
+
{{- '{"type": "function", "function": {' }}
|
| 32 |
+
{%- for key, val in tool.items() if key != "return" %}
|
| 33 |
+
{%- if val is string %}
|
| 34 |
+
{{- '"' + key + '": "' + val + '"' }}
|
| 35 |
+
{%- else %}
|
| 36 |
+
{{- '"' + key + '": ' + val|tojson }}
|
| 37 |
+
{%- endif %}
|
| 38 |
+
{%- if not loop.last %}
|
| 39 |
+
{{- ", " }}
|
| 40 |
+
{%- endif %}
|
| 41 |
+
{%- endfor %}
|
| 42 |
+
{{- "}}" }}
|
| 43 |
+
{%- if not loop.last %}
|
| 44 |
+
{{- ", " }}
|
| 45 |
+
{%- else %}
|
| 46 |
+
{{- "]" }}
|
| 47 |
+
{%- endif %}
|
| 48 |
+
{%- endfor %}
|
| 49 |
+
{{- "[/AVAILABLE_TOOLS]" }}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- if loop.last and system_message is defined %}
|
| 52 |
+
{{- "[INST] " + system_message + "\n\n" + message["content"] + "[/INST]" }}
|
| 53 |
+
{%- else %}
|
| 54 |
+
{{- "[INST] " + message["content"] + "[/INST]" }}
|
| 55 |
+
{%- endif %}
|
| 56 |
+
{%- elif message.tool_calls is defined and message.tool_calls is not none %}
|
| 57 |
+
{{- "[TOOL_CALLS] [" }}
|
| 58 |
+
{%- for tool_call in message.tool_calls %}
|
| 59 |
+
{%- set out = tool_call.function|tojson %}
|
| 60 |
+
{{- out[:-1] }}
|
| 61 |
+
{%- if not tool_call.id is defined or tool_call.id|length != 9 %}
|
| 62 |
+
{{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
|
| 63 |
+
{%- endif %}
|
| 64 |
+
{{- ', "id": "' + tool_call.id + '"}' }}
|
| 65 |
+
{%- if not loop.last %}
|
| 66 |
+
{{- ", " }}
|
| 67 |
+
{%- else %}
|
| 68 |
+
{{- "]" + eos_token }}
|
| 69 |
+
{%- endif %}
|
| 70 |
+
{%- endfor %}
|
| 71 |
+
{%- elif message["role"] == "assistant" %}
|
| 72 |
+
{{- " " + message["content"]|trim + eos_token}}
|
| 73 |
+
{%- elif message["role"] == "tool_results" or message["role"] == "tool" %}
|
| 74 |
+
{%- if message.content is defined and message.content.content is defined %}
|
| 75 |
+
{%- set content = message.content.content %}
|
| 76 |
+
{%- else %}
|
| 77 |
+
{%- set content = message.content %}
|
| 78 |
+
{%- endif %}
|
| 79 |
+
{{- '[TOOL_RESULTS] {"content": ' + content|string + ", " }}
|
| 80 |
+
{%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %}
|
| 81 |
+
{{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
|
| 82 |
+
{%- endif %}
|
| 83 |
+
{{- '"call_id": "' + message.tool_call_id + '"}[/TOOL_RESULTS]' }}
|
| 84 |
+
{%- else %}
|
| 85 |
+
{{- raise_exception("Only user and assistant roles are supported, with the exception of an initial optional system message!") }}
|
| 86 |
+
{%- endif %}
|
| 87 |
+
{%- endfor %}
|
checkpoint-54/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
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|
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checkpoint-54/training_args.bin
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version https://git-lfs.github.com/spec/v1
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checkpoint-81/README.md
ADDED
|
@@ -0,0 +1,209 @@
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|
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|
|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.3
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:mistralai/Mistral-7B-Instruct-v0.3
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Model Card for Model ID
|
| 14 |
+
|
| 15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
## Model Details
|
| 20 |
+
|
| 21 |
+
### Model Description
|
| 22 |
+
|
| 23 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
- **Developed by:** [More Information Needed]
|
| 28 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 29 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 30 |
+
- **Model type:** [More Information Needed]
|
| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 32 |
+
- **License:** [More Information Needed]
|
| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
### Model Sources [optional]
|
| 36 |
+
|
| 37 |
+
<!-- Provide the basic links for the model. -->
|
| 38 |
+
|
| 39 |
+
- **Repository:** [More Information Needed]
|
| 40 |
+
- **Paper [optional]:** [More Information Needed]
|
| 41 |
+
- **Demo [optional]:** [More Information Needed]
|
| 42 |
+
|
| 43 |
+
## Uses
|
| 44 |
+
|
| 45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 46 |
+
|
| 47 |
+
### Direct Use
|
| 48 |
+
|
| 49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 50 |
+
|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
+
### Downstream Use [optional]
|
| 54 |
+
|
| 55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 56 |
+
|
| 57 |
+
[More Information Needed]
|
| 58 |
+
|
| 59 |
+
### Out-of-Scope Use
|
| 60 |
+
|
| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 62 |
+
|
| 63 |
+
[More Information Needed]
|
| 64 |
+
|
| 65 |
+
## Bias, Risks, and Limitations
|
| 66 |
+
|
| 67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 68 |
+
|
| 69 |
+
[More Information Needed]
|
| 70 |
+
|
| 71 |
+
### Recommendations
|
| 72 |
+
|
| 73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 74 |
+
|
| 75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 76 |
+
|
| 77 |
+
## How to Get Started with the Model
|
| 78 |
+
|
| 79 |
+
Use the code below to get started with the model.
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
## Training Details
|
| 84 |
+
|
| 85 |
+
### Training Data
|
| 86 |
+
|
| 87 |
+
<!-- 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. -->
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
### Training Procedure
|
| 92 |
+
|
| 93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 94 |
+
|
| 95 |
+
#### Preprocessing [optional]
|
| 96 |
+
|
| 97 |
+
[More Information Needed]
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
#### Training Hyperparameters
|
| 101 |
+
|
| 102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 103 |
+
|
| 104 |
+
#### Speeds, Sizes, Times [optional]
|
| 105 |
+
|
| 106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 107 |
+
|
| 108 |
+
[More Information Needed]
|
| 109 |
+
|
| 110 |
+
## Evaluation
|
| 111 |
+
|
| 112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 113 |
+
|
| 114 |
+
### Testing Data, Factors & Metrics
|
| 115 |
+
|
| 116 |
+
#### Testing Data
|
| 117 |
+
|
| 118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 119 |
+
|
| 120 |
+
[More Information Needed]
|
| 121 |
+
|
| 122 |
+
#### Factors
|
| 123 |
+
|
| 124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 125 |
+
|
| 126 |
+
[More Information Needed]
|
| 127 |
+
|
| 128 |
+
#### Metrics
|
| 129 |
+
|
| 130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 131 |
+
|
| 132 |
+
[More Information Needed]
|
| 133 |
+
|
| 134 |
+
### Results
|
| 135 |
+
|
| 136 |
+
[More Information Needed]
|
| 137 |
+
|
| 138 |
+
#### Summary
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
## Model Examination [optional]
|
| 143 |
+
|
| 144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 145 |
+
|
| 146 |
+
[More Information Needed]
|
| 147 |
+
|
| 148 |
+
## Environmental Impact
|
| 149 |
+
|
| 150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 151 |
+
|
| 152 |
+
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).
|
| 153 |
+
|
| 154 |
+
- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
+
- **Compute Region:** [More Information Needed]
|
| 158 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
|
| 160 |
+
## Technical Specifications [optional]
|
| 161 |
+
|
| 162 |
+
### Model Architecture and Objective
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
### Compute Infrastructure
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
#### Hardware
|
| 171 |
+
|
| 172 |
+
[More Information Needed]
|
| 173 |
+
|
| 174 |
+
#### Software
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
## Citation [optional]
|
| 179 |
+
|
| 180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
+
|
| 184 |
+
[More Information Needed]
|
| 185 |
+
|
| 186 |
+
**APA:**
|
| 187 |
+
|
| 188 |
+
[More Information Needed]
|
| 189 |
+
|
| 190 |
+
## Glossary [optional]
|
| 191 |
+
|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## More Information [optional]
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
## Model Card Authors [optional]
|
| 201 |
+
|
| 202 |
+
[More Information Needed]
|
| 203 |
+
|
| 204 |
+
## Model Card Contact
|
| 205 |
+
|
| 206 |
+
[More Information Needed]
|
| 207 |
+
### Framework versions
|
| 208 |
+
|
| 209 |
+
- PEFT 0.17.1
|
checkpoint-81/adapter_config.json
ADDED
|
@@ -0,0 +1,42 @@
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 32,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.05,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
|
| 24 |
+
"r": 16,
|
| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
+
"target_modules": [
|
| 28 |
+
"gate_proj",
|
| 29 |
+
"q_proj",
|
| 30 |
+
"up_proj",
|
| 31 |
+
"k_proj",
|
| 32 |
+
"o_proj",
|
| 33 |
+
"down_proj",
|
| 34 |
+
"v_proj"
|
| 35 |
+
],
|
| 36 |
+
"target_parameters": null,
|
| 37 |
+
"task_type": "CAUSAL_LM",
|
| 38 |
+
"trainable_token_indices": null,
|
| 39 |
+
"use_dora": false,
|
| 40 |
+
"use_qalora": false,
|
| 41 |
+
"use_rslora": false
|
| 42 |
+
}
|
checkpoint-81/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:695180f9aa045ebae852b771d5b82e729c7556487c93523b2de96b6a4f888111
|
| 3 |
+
size 167832240
|
checkpoint-81/chat_template.jinja
ADDED
|
@@ -0,0 +1,87 @@
|
|
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|
| 1 |
+
{%- if messages[0]["role"] == "system" %}
|
| 2 |
+
{%- set system_message = messages[0]["content"] %}
|
| 3 |
+
{%- set loop_messages = messages[1:] %}
|
| 4 |
+
{%- else %}
|
| 5 |
+
{%- set loop_messages = messages %}
|
| 6 |
+
{%- endif %}
|
| 7 |
+
{%- if not tools is defined %}
|
| 8 |
+
{%- set tools = none %}
|
| 9 |
+
{%- endif %}
|
| 10 |
+
{%- set user_messages = loop_messages | selectattr("role", "equalto", "user") | list %}
|
| 11 |
+
|
| 12 |
+
{#- This block checks for alternating user/assistant messages, skipping tool calling messages #}
|
| 13 |
+
{%- set ns = namespace() %}
|
| 14 |
+
{%- set ns.index = 0 %}
|
| 15 |
+
{%- for message in loop_messages %}
|
| 16 |
+
{%- if not (message.role == "tool" or message.role == "tool_results" or (message.tool_calls is defined and message.tool_calls is not none)) %}
|
| 17 |
+
{%- if (message["role"] == "user") != (ns.index % 2 == 0) %}
|
| 18 |
+
{{- raise_exception("After the optional system message, conversation roles must alternate user/assistant/user/assistant/...") }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- set ns.index = ns.index + 1 %}
|
| 21 |
+
{%- endif %}
|
| 22 |
+
{%- endfor %}
|
| 23 |
+
|
| 24 |
+
{{- bos_token }}
|
| 25 |
+
{%- for message in loop_messages %}
|
| 26 |
+
{%- if message["role"] == "user" %}
|
| 27 |
+
{%- if tools is not none and (message == user_messages[-1]) %}
|
| 28 |
+
{{- "[AVAILABLE_TOOLS] [" }}
|
| 29 |
+
{%- for tool in tools %}
|
| 30 |
+
{%- set tool = tool.function %}
|
| 31 |
+
{{- '{"type": "function", "function": {' }}
|
| 32 |
+
{%- for key, val in tool.items() if key != "return" %}
|
| 33 |
+
{%- if val is string %}
|
| 34 |
+
{{- '"' + key + '": "' + val + '"' }}
|
| 35 |
+
{%- else %}
|
| 36 |
+
{{- '"' + key + '": ' + val|tojson }}
|
| 37 |
+
{%- endif %}
|
| 38 |
+
{%- if not loop.last %}
|
| 39 |
+
{{- ", " }}
|
| 40 |
+
{%- endif %}
|
| 41 |
+
{%- endfor %}
|
| 42 |
+
{{- "}}" }}
|
| 43 |
+
{%- if not loop.last %}
|
| 44 |
+
{{- ", " }}
|
| 45 |
+
{%- else %}
|
| 46 |
+
{{- "]" }}
|
| 47 |
+
{%- endif %}
|
| 48 |
+
{%- endfor %}
|
| 49 |
+
{{- "[/AVAILABLE_TOOLS]" }}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- if loop.last and system_message is defined %}
|
| 52 |
+
{{- "[INST] " + system_message + "\n\n" + message["content"] + "[/INST]" }}
|
| 53 |
+
{%- else %}
|
| 54 |
+
{{- "[INST] " + message["content"] + "[/INST]" }}
|
| 55 |
+
{%- endif %}
|
| 56 |
+
{%- elif message.tool_calls is defined and message.tool_calls is not none %}
|
| 57 |
+
{{- "[TOOL_CALLS] [" }}
|
| 58 |
+
{%- for tool_call in message.tool_calls %}
|
| 59 |
+
{%- set out = tool_call.function|tojson %}
|
| 60 |
+
{{- out[:-1] }}
|
| 61 |
+
{%- if not tool_call.id is defined or tool_call.id|length != 9 %}
|
| 62 |
+
{{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
|
| 63 |
+
{%- endif %}
|
| 64 |
+
{{- ', "id": "' + tool_call.id + '"}' }}
|
| 65 |
+
{%- if not loop.last %}
|
| 66 |
+
{{- ", " }}
|
| 67 |
+
{%- else %}
|
| 68 |
+
{{- "]" + eos_token }}
|
| 69 |
+
{%- endif %}
|
| 70 |
+
{%- endfor %}
|
| 71 |
+
{%- elif message["role"] == "assistant" %}
|
| 72 |
+
{{- " " + message["content"]|trim + eos_token}}
|
| 73 |
+
{%- elif message["role"] == "tool_results" or message["role"] == "tool" %}
|
| 74 |
+
{%- if message.content is defined and message.content.content is defined %}
|
| 75 |
+
{%- set content = message.content.content %}
|
| 76 |
+
{%- else %}
|
| 77 |
+
{%- set content = message.content %}
|
| 78 |
+
{%- endif %}
|
| 79 |
+
{{- '[TOOL_RESULTS] {"content": ' + content|string + ", " }}
|
| 80 |
+
{%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %}
|
| 81 |
+
{{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
|
| 82 |
+
{%- endif %}
|
| 83 |
+
{{- '"call_id": "' + message.tool_call_id + '"}[/TOOL_RESULTS]' }}
|
| 84 |
+
{%- else %}
|
| 85 |
+
{{- raise_exception("Only user and assistant roles are supported, with the exception of an initial optional system message!") }}
|
| 86 |
+
{%- endif %}
|
| 87 |
+
{%- endfor %}
|
checkpoint-81/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:54231cbae9368e06ae55ce2f2e06cdc27ae2108d4c2bc928012688ab3da268f3
|
| 3 |
+
size 335910307
|
checkpoint-81/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:391d01d3aeb4a35151817d446e4ba0b9c8a04084ae1b1b66eda188a30729da0a
|
| 3 |
+
size 14455
|
checkpoint-81/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7402ac0ae8271a69b5a5f0a9da79cdeb0b9684015599ce2f133db5345cbad65c
|
| 3 |
+
size 1465
|