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MELT Mixtral 8x7B Instruct V0.1 by IBI-CAAI

 »  All LLMs  »  IBI-CAAI  »  MELT Mixtral 8x7B Instruct V0.1   URL Share it on

  13   
  Autotrain compatible   Conversational   Doi:10.57967/hf/3083   En   Endpoints compatible   Instruct   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/IBI-CAAI/MELT-Mixtral-8x7B-Instruct-v0.1 

MELT Mixtral 8x7B Instruct V0.1 Benchmarks

LLME Score: 0.16412
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MELT Mixtral 8x7B Instruct V0.1 (IBI-CAAI/MELT-Mixtral-8x7B-Instruct-v0.1)

MELT Mixtral 8x7B Instruct V0.1 Parameters and Internals

Model Type 
LLM, Generative text model
Use Cases 
Areas:
Research
Applications:
Prompts using a QA or chat format
Limitations:
The training and evaluation datasets have not been evaluated for content or accuracy.
Additional Notes 
Use this model like you would the Mixtral-8x7B-Instruct-v0.1 model.
Supported Languages 
en (high)
Training Details 
Data Sources:
Expert Med, MedQA train, MedMCQA train, LiveQA, MedicationQA, MMLU clinical topics, Medical Flashcards, Wikidoc, Wikidoc Patient Information, MEDIQA, MMMLU, icliniq 10k, HealthCare Magic 100k, GenMedGPT-5k, Mental Health Conversational
Responsible Ai Considerations 
Fairness:
MELT was trained using publicly available collections, which likely contain biased and inaccurate information.
LLM NameMELT Mixtral 8x7B Instruct V0.1
Repository 🤗https://huggingface.co/IBI-CAAI/MELT-Mixtral-8x7B-Instruct-v0.1 
Model Size46.7b
Required VRAM92 GB
Updated2024-12-21
MaintainerIBI-CAAI
Model Typemixtral
Instruction-BasedYes
Model Files  2.0 GB: 1-of-48   2.0 GB: 2-of-48   2.0 GB: 3-of-48   2.0 GB: 4-of-48   2.0 GB: 5-of-48   2.0 GB: 6-of-48   2.0 GB: 7-of-48   2.0 GB: 8-of-48   2.0 GB: 9-of-48   2.0 GB: 10-of-48   2.0 GB: 11-of-48   2.0 GB: 12-of-48   2.0 GB: 13-of-48   2.0 GB: 14-of-48   2.0 GB: 15-of-48   2.0 GB: 16-of-48   2.0 GB: 17-of-48   2.0 GB: 18-of-48   2.0 GB: 19-of-48   2.0 GB: 20-of-48   2.0 GB: 21-of-48   2.0 GB: 22-of-48   2.0 GB: 23-of-48   2.0 GB: 24-of-48   2.0 GB: 25-of-48   2.0 GB: 26-of-48   2.0 GB: 27-of-48   2.0 GB: 28-of-48   2.0 GB: 29-of-48   2.0 GB: 30-of-48   2.0 GB: 31-of-48   2.0 GB: 32-of-48   2.0 GB: 33-of-48   2.0 GB: 34-of-48   2.0 GB: 35-of-48   2.0 GB: 36-of-48   2.0 GB: 37-of-48   2.0 GB: 38-of-48   2.0 GB: 39-of-48   2.0 GB: 40-of-48   2.0 GB: 41-of-48   2.0 GB: 42-of-48   2.0 GB: 43-of-48   2.0 GB: 44-of-48   2.0 GB: 45-of-48   2.0 GB: 46-of-48
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than IBI-CAAI/MELT-Mixtral-8x7B-Instruct-v0.1.

Rank the MELT Mixtral 8x7B Instruct V0.1 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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Release v20241217
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