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Medical Mixtral 7B V2k by ruslanmv

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Medical Mixtral 7B V2k is an open-source language model by ruslanmv. Features: 7b LLM, VRAM: 0.4GB, License: apache-2.0, Instruction-Based, HF Score: 61.6, LLM Explorer Score: 0.15, Arc: 60, HellaSwag: 82.5, MMLU: 60.4, TruthfulQA: 57.4, WinoGrande: 75.8, GSM8K: 33.1.

Base model:adapter:mistralai/m... Base model:mistralai/mistral-7... Dataset:ruslanmv/ai-medical-ch...   En   Instruct   Lora   Mistral   Peft   Region:us   Ruslanmv   Safetensors   Trl
Model Card on HF 🤗: https://huggingface.co/ruslanmv/Medical-Mixtral-7B-v2k 

Medical Mixtral 7B V2k Benchmarks

ARC: 59.98 vs 96.7 (so35)-38%
HellaSwag: 82.54 vs 95.3 (gpt4)-13.4%
MMLU: 60.43 vs 88.3 (so35)-31.6%
TruthfulQA: 57.42 vs 59 (gpt4)-2.7%
WinoGrande: 75.77 vs 87.5 (gpt4)-13.4%
GSM8K: 33.13 vs 96.4 (so35)-65.6%
LLME Score: 0.14675
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Medical Mixtral 7B V2k (ruslanmv/Medical-Mixtral-7B-v2k)
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Medical Mixtral 7B V2k Parameters and Internals

Model Type 
text-generation-inference, transformers
Use Cases 
Primary Use Cases:
Answering medical assistance questions in chatbot applications
Limitations:
The model's performance may vary depending on the complexity and specificity of the medical questions. May not provide accurate answers for every medical query.
Supported Languages 
en (Proficient)
Training Details 
Data Sources:
ruslanmv/ai-medical-chatbot
Data Volume:
2.0k records (subset of AI Medical Chatbot dataset which contains 250k records)
Safety Evaluation 
Ethical Considerations:
Users should be informed that the model's responses are generated based on patterns in the training data and may not always be accurate or suitable for medical decision-making. The model should not be used as a replacement for professional medical advice or diagnosis. Sensitive patient data should not be shared with the model, and user privacy should be protected.
LLM NameMedical Mixtral 7B V2k
Repository 🤗https://huggingface.co/ruslanmv/Medical-Mixtral-7B-v2k 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.2   mistralai/Mistral-7B-Instruct-v0.2
Model Size7b
Required VRAM0.4 GB
Updated2026-04-10
Maintainerruslanmv
Instruction-BasedYes
Model Files  0.4 GB
Supported Languagesen
Model ArchitectureAutoModel
Licenseapache-2.0
Model Max Length1024
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|k_proj|v_proj|gate_proj|o_proj
LoRA Alpha16
LoRA Dropout0.1
R Param64

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Note: green Score (e.g. "73.2") means that the model is better than ruslanmv/Medical-Mixtral-7B-v2k.

Rank the Medical Mixtral 7B V2k Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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