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Training in progress, step 200

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README.md ADDED
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+ ---
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+ base_model: unsloth/mistral-7b-instruct-v0.3-bnb-4bit
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+ library_name: transformers
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+ model_name: mistral-7b-instruct-json
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+ tags:
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+ - generated_from_trainer
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+ - hf_jobs
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+ - unsloth
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+ - trl
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+ - sft
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+ licence: license
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+ ---
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+
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+ # Model Card for mistral-7b-instruct-json
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+
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+ This model is a fine-tuned version of [unsloth/mistral-7b-instruct-v0.3-bnb-4bit](https://huggingface.co/unsloth/mistral-7b-instruct-v0.3-bnb-4bit).
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+ It has been trained using [TRL](https://github.com/huggingface/trl).
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+
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+ ## Quick start
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+
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+ ```python
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+ from transformers import pipeline
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+
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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="travistest/mistral-7b-instruct-json", 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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+
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+ ## Training procedure
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+
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+
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+
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+
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+ This model was trained with SFT.
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+
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+ ### Framework versions
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+
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+ - TRL: 0.24.0
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+ - Transformers: 4.57.3
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+ - Pytorch: 2.9.1
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+ - Datasets: 4.3.0
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+ - Tokenizers: 0.22.1
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+
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+ ## Citations
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+
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+
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+
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+ Cite TRL as:
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+
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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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+ {
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+ "alora_invocation_tokens": null,
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+ "auto_mapping": {
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+ "base_model_class": "MistralForCausalLM",
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+ "parent_library": "transformers.models.mistral.modeling_mistral",
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+ "unsloth_fixed": true
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+ },
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+ "base_model_name_or_path": "unsloth/mistral-7b-instruct-v0.3-bnb-4bit",
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+ "bias": "none",
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+ "corda_config": null,
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+ "ensure_weight_tying": false,
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+ "lora_bias": false,
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+ "lora_dropout": 0,
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+ "megatron_core": "megatron.core",
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+ "peft_type": "LORA",
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+ "r": 32,
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+ "rank_pattern": {},
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+ "target_modules": [
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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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+ {%- 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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+
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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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+
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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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+ {{- "[/AVAILABLE_TOOLS]" }}
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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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+ {{- "[INST] " + message["content"] + "[/INST]" }}
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+ {%- endif %}
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+ {%- elif message.tool_calls is defined and message.tool_calls is not none %}
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+ {{- "[TOOL_CALLS] [" }}
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+ {%- for tool_call in message.tool_calls %}
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+ {%- set out = tool_call.function|tojson %}
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+ {{- out[:-1] }}
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+ {%- if not tool_call.id is defined or tool_call.id|length != 9 %}
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+ {{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
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+ {%- endif %}
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+ {{- ', "id": "' + tool_call.id + '"}' }}
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+ {{- ", " }}
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+ {%- elif message["role"] == "assistant" %}
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+ {{- " " + message["content"]|trim + eos_token}}
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+ {%- elif message["role"] == "tool_results" or message["role"] == "tool" %}
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+ {%- if message.content is defined and message.content.content is defined %}
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+ {%- set content = message.content.content %}
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+ {%- else %}
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+ {%- set content = message.content %}
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+ {%- endif %}
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+ {{- '[TOOL_RESULTS] {"content": ' + content|string + ", " }}
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+ {%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %}
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+ {{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
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+ {%- endif %}
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+ {{- '"call_id": "' + message.tool_call_id + '"}[/TOOL_RESULTS]' }}
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+ {%- else %}
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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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+ {%- endif %}
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+ {%- endfor %}
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