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Dolphin 2.9.2 Mixtral 8x22b by cognitivecomputations

By cognitivecomputations · 9311 downloads
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Dolphin 2.9.2 Mixtral 8x22b is an open-source language model by cognitivecomputations. Features: 140.6b LLM, VRAM: 207.2GB, Context: 64K, License: apache-2.0, MoE, LLM Explorer Score: 0.16.

  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: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-2.9.2-mixtral-8x22b 

Dolphin 2.9.2 Mixtral 8x22b Parameters and Internals

Additional Notes 
Dolphin-2.9 has a variety of instruction, conversational, and coding skills. It also has initial agentic abilities and supports function calling.
Supported Languages 
en (English)
Training Details 
Data Sources:
GPT4, cognitivecomputations/Dolphin-2.9.2, cognitivecomputations/SystemChat-2.0, teknium/OpenHermes-2.5, m-a-p/CodeFeedback-Filtered-Instruction, cognitivecomputations/dolphin-coder, cognitivecomputations/samantha-data, HuggingFaceH4/ultrachat_200k, microsoft/orca-math-word-problems-200k, abacusai/SystemChat-1.1, Locutusque/function-calling-chatml, internlm/Agent-FLAN
Methodology:
FFT on 50% parameters using ChatML prompt template format. Base model has 64k context, fine-tuning was with 16k sequence length.
Context Length:
64000
Training Time:
1 week on 8xH100
Hardware Used:
Crusoe Cloud 8xH100 node
LLM NameDolphin 2.9.2 Mixtral 8x22b
Repository 🤗https://huggingface.co/cognitivecomputations/dolphin-2.9.2-mixtral-8x22b 
Base Model(s)  mistral-community/Mixtral-8x22B-v0.1   mistral-community/Mixtral-8x22B-v0.1
Model Size140.6b
Required VRAM207.2 GB
Updated2025-07-13
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
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.40.2
Vocabulary Size32002
Torch Data Typebfloat16

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