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Medical Mixtral 7B V2k by ruslanmv

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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

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: 0.23026
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 Parameters and Internals

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
Updated2024-09-07
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
Medical Mixtral 7B V2k (ruslanmv/Medical-Mixtral-7B-v2k)

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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  
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Release v2024072803
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