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Dolphin 2.9 Mixtral 8x22b by cognitivecomputations

 »  All LLMs  »  cognitivecomputations  »  Dolphin 2.9 Mixtral 8x22b   URL Share it on

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  Autotrain compatible   Axolotl Base model:finetune:mistral-co... Base model:mistral-community/m...   Conversational Dataset:abacusai/systemchat-1.... Dataset:cognitivecomputations/... Dataset:cognitivecomputations/... Dataset:cognitivecomputations/... Dataset:huggingfaceh4/ultracha...   Dataset:internlm/agent-flan Dataset:locutusque/function-ca... Dataset:m-a-p/codefeedback-fil... Dataset:microsoft/orca-math-wo...   Dataset:teknium/openhermes-2.5   En   Endpoints compatible   Generated from trainer   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/cognitivecomputations/dolphin-2.9-mixtral-8x22b 

Dolphin 2.9 Mixtral 8x22b Benchmarks

LLME Score: 0.18593
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dolphin 2.9 Mixtral 8x22b (cognitivecomputations/dolphin-2.9-mixtral-8x22b)

Dolphin 2.9 Mixtral 8x22b Parameters and Internals

Model Type 
AutoModelForCausalLM
Additional Notes 
Filters applied to remove alignment and bias. Users are advised to implement their own alignment layer.
Supported Languages 
en (English)
Training Details 
Data Sources:
Cognitive Computations, Dolphin-2.9, m-a-p/CodeFeedback-Filtered-Instruction, HuggingFaceH4/ultrachat_200k, microsoft/orca-math-word-problems-200k, abacusai/SystemChat-1.1, Locutusque/function-calling-chatml, internlm/Agent-FLAN
Methodology:
Full-weight fine-tuning with 4k sequence length using ChatML prompt template format; FFT on 50% parameters using Laser Scanner; uncensored filtering to remove alignment and bias
Context Length:
64000
Training Time:
1 week on 8xH100
Hardware Used:
8xH100 provided by Crusoe Cloud
LLM NameDolphin 2.9 Mixtral 8x22b
Repository 🤗https://huggingface.co/cognitivecomputations/dolphin-2.9-mixtral-8x22b 
Base Model(s)  mistral-community/Mixtral-8x22B-v0.1   mistral-community/Mixtral-8x22B-v0.1
Model Size140.6b
Required VRAM216.8 GB
Updated2025-02-22
Maintainercognitivecomputations
Model Typemixtral
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
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.40.0.dev0
Vocabulary Size32002
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than cognitivecomputations/dolphin-2.9-mixtral-8x22b.

Rank the Dolphin 2.9 Mixtral 8x22b 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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