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Model: wvnvwn/Mistral-7B-Instruct-v0.3-fedavg-v0 Source: Original Platform
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*.tar.* filter=lfs diff=lfs merge=lfs -text
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85
README.md
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README.md
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---
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library_name: transformers
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pipeline_tag: text-generation
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base_model:
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- mistralai/Mistral-7B-Instruct-v0.3
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tags:
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- peft
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- lora
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- merged
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---
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# Mistral-7B-Instruct-v0.3-fedavg-v0
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This repository contains a full merged model produced by applying a PEFT LoRA adapter to its base model. It is intended for reproducible evaluation without requiring a separate adapter loading path.
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## Quick Start
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```python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = "wvnvwn/Mistral-7B-Instruct-v0.3-fedavg-v0"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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torch_dtype=torch.bfloat16,
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device_map="auto",
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)
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```
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Run the bundled FSL evaluation wrapper:
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```bash
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bash fsl/src/evaluation/overall_eval.sh \
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--model_name wvnvwn/Mistral-7B-Instruct-v0.3-fedavg-v0 \
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--model_type instruct \
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--max_samples 100 \
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--output_root fsl/results/evaluation/Mistral-7B-Instruct-v0.3-fedavg-v0
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```
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## Training Procedure
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- Procedure: Federated LoRA fine-tuning followed by adapter aggregation. The resulting PEFT LoRA adapter was merged into the base model for reproducible evaluation.
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- Algorithm: `fedavg`
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- Training data: `data_hetero_with_4_tasks`
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- Number of clients: `8`
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- Communication round/checkpoint: `3`
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- Local epochs: `3`
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- Local batch size: `256`
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- Local micro batch size: `32`
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- Local learning rate: `0.0003`
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Original training command:
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Not specified
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## Merge Metadata
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- Base model: `mistralai/Mistral-7B-Instruct-v0.3`
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- Adapter source: `/NHNHOME/0226010080_A/BASE/jongbokwon/FLS/fsl/outputs/fedavg/8/2`
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- PEFT type: `LORA`
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- Task type: `CAUSAL_LM`
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- LoRA rank: `16`
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- LoRA alpha: `16`
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- Target modules: `v_proj`, `o_proj`, `down_proj`, `q_proj`, `gate_proj`, `k_proj`, `up_proj`
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- Merged at UTC: `2026-05-21T13:34:46.609417+00:00`
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## Framework Versions
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- python: `3.10.20`
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- platform: `Linux-6.8.0-100-generic-x86_64-with-glibc2.39`
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- torch: `2.11.0+cu130`
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- cuda: `13.0`
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- transformers: `4.57.1`
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- peft: `0.19.1`
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- accelerate: `1.13.0`
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- huggingface_hub: `0.36.2`
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- safetensors: `0.7.0`
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- vllm: `0.20.2`
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- wandb: `0.27.0`
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## Notes
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- This is a merged full-weight model, not an adapter-only checkpoint.
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- Redistribution/access should follow the base model license and access policy.
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- `merge_info.json` in this repository records the adapter and merge configuration.
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87
chat_template.jinja
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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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{{- ", " }}
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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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{%- 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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{{- "[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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{%- if not loop.last %}
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{{- ", " }}
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{%- else %}
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{{- "]" + eos_token }}
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{%- endif %}
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{%- endfor %}
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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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26
config.json
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config.json
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{
|
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"architectures": [
|
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
|
||||
"bos_token_id": 1,
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||||
"dtype": "bfloat16",
|
||||
"eos_token_id": 2,
|
||||
"head_dim": null,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 4096,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 14336,
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||||
"max_position_embeddings": 32768,
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"model_type": "mistral",
|
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"num_attention_heads": 32,
|
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"num_hidden_layers": 32,
|
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"num_key_value_heads": 8,
|
||||
"rms_norm_eps": 1e-05,
|
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"rope_theta": 1000000.0,
|
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"sliding_window": null,
|
||||
"tie_word_embeddings": false,
|
||||
"transformers_version": "4.57.1",
|
||||
"use_cache": true,
|
||||
"vocab_size": 32768
|
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}
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generation_config.json
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generation_config.json
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{
|
||||
"_from_model_config": true,
|
||||
"bos_token_id": 1,
|
||||
"eos_token_id": 2,
|
||||
"transformers_version": "4.57.1"
|
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}
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49
merge_info.json
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merge_info.json
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{
|
||||
"adapter_dir": "/NHNHOME/0226010080_A/BASE/jongbokwon/FLS/fsl/outputs/fedavg/8/2",
|
||||
"base_model": "mistralai/Mistral-7B-Instruct-v0.3",
|
||||
"peft_type": "LORA",
|
||||
"task_type": "CAUSAL_LM",
|
||||
"lora_r": 16,
|
||||
"lora_alpha": 16,
|
||||
"target_modules": [
|
||||
"v_proj",
|
||||
"o_proj",
|
||||
"down_proj",
|
||||
"q_proj",
|
||||
"gate_proj",
|
||||
"k_proj",
|
||||
"up_proj"
|
||||
],
|
||||
"merged_at_utc": "2026-05-21T13:34:46.609417+00:00",
|
||||
"output_dir": "/NHNHOME/0226010080_A/BASE/jongbokwon/FLS/fsl/outputs/fedavg/8/merged",
|
||||
"repo_id": "wvnvwn/Mistral-7B-Instruct-v0.3-fedavg-v0",
|
||||
"private": false,
|
||||
"revision": null,
|
||||
"dtype": "bfloat16",
|
||||
"max_shard_size": "5GB",
|
||||
"training": {
|
||||
"procedure": "Federated LoRA fine-tuning followed by adapter aggregation. The resulting PEFT LoRA adapter was merged into the base model for reproducible evaluation.",
|
||||
"algorithm": "fedavg",
|
||||
"training_data": "data_hetero_with_4_tasks",
|
||||
"training_command": null,
|
||||
"num_clients": 8,
|
||||
"communication_round": "3",
|
||||
"local_epochs": "3",
|
||||
"local_batch_size": "256",
|
||||
"local_micro_batch_size": "32",
|
||||
"local_learning_rate": "0.0003"
|
||||
},
|
||||
"framework_versions": {
|
||||
"python": "3.10.20",
|
||||
"platform": "Linux-6.8.0-100-generic-x86_64-with-glibc2.39",
|
||||
"torch": "2.11.0+cu130",
|
||||
"cuda": "13.0",
|
||||
"transformers": "4.57.1",
|
||||
"peft": "0.19.1",
|
||||
"accelerate": "1.13.0",
|
||||
"huggingface_hub": "0.36.2",
|
||||
"safetensors": "0.7.0",
|
||||
"vllm": "0.20.2",
|
||||
"wandb": "0.27.0"
|
||||
}
|
||||
}
|
||||
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||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
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||||
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||||
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||||
}
|
||||
}
|
||||
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
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||||
size 587404
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6187
tokenizer_config.json
Normal file
6187
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user