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Mixtral 8x22b Instruct Oh by fireworks-ai

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  Autotrain compatible Base model:finetune:mistral-co... Base model:mistral-community/m...   Conversational   Dataset:teknium/openhermes-2.5   En   Endpoints compatible   Instruct   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/fireworks-ai/mixtral-8x22b-instruct-oh 

Mixtral 8x22b Instruct Oh Benchmarks

LLME Score: 0.16621
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral 8x22b Instruct Oh (fireworks-ai/mixtral-8x22b-instruct-oh)

Mixtral 8x22b Instruct Oh Parameters and Internals

Additional Notes 
The model specifically follows the Vicuna chat template.
Training Details 
Data Sources:
teknium/OpenHermes-2.5
Data Volume:
~10K entries
Methodology:
Finetuned for instruct tasks
Hardware Used:
8xA100 80G
Model Architecture:
MoE
Input Output 
Input Format:
Vicuna chat template
LLM NameMixtral 8x22b Instruct Oh
Repository 🤗https://huggingface.co/fireworks-ai/mixtral-8x22b-instruct-oh 
Base Model(s)  mistral-community/Mixtral-8x22B-v0.1   mistral-community/Mixtral-8x22B-v0.1
Model Size140.6b
Required VRAM221.6 GB
Updated2025-06-01
Maintainerfireworks-ai
Model Typemixtral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-59   4.8 GB: 2-of-59   4.8 GB: 3-of-59   4.8 GB: 4-of-59   4.8 GB: 5-of-59   4.8 GB: 6-of-59   4.8 GB: 7-of-59   4.8 GB: 8-of-59   4.8 GB: 9-of-59   4.8 GB: 10-of-59   4.8 GB: 11-of-59   4.8 GB: 12-of-59   4.8 GB: 13-of-59   4.8 GB: 14-of-59   4.8 GB: 15-of-59   4.8 GB: 16-of-59   4.8 GB: 17-of-59   4.8 GB: 18-of-59   4.8 GB: 19-of-59   4.8 GB: 20-of-59   4.8 GB: 21-of-59   4.8 GB: 22-of-59   4.8 GB: 23-of-59   4.9 GB: 24-of-59   5.0 GB: 25-of-59   5.0 GB: 26-of-59   4.9 GB: 27-of-59   4.8 GB: 28-of-59   4.8 GB: 29-of-59   4.8 GB: 30-of-59   4.8 GB: 31-of-59   4.8 GB: 32-of-59   4.8 GB: 33-of-59   4.8 GB: 34-of-59   4.8 GB: 35-of-59   4.8 GB: 36-of-59   4.8 GB: 37-of-59   4.8 GB: 38-of-59   4.8 GB: 39-of-59   4.8 GB: 40-of-59   4.8 GB: 41-of-59   4.8 GB: 42-of-59   4.8 GB: 43-of-59   4.8 GB: 44-of-59   4.8 GB: 45-of-59   4.8 GB: 46-of-59
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.39.3
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than fireworks-ai/mixtral-8x22b-instruct-oh.

Rank the Mixtral 8x22b Instruct Oh Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241227
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