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Dolphin 2.9.2 Qwen2 72B by cognitivecomputations

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Dolphin 2.9.2 Qwen2 72B is an open-source language model by cognitivecomputations. Features: 72b LLM, VRAM: 146GB, Context: 128K, License: other, LLM Explorer Score: 0.27.

  Autotrain compatible   Axolotl Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2-72b   Conversational Dataset:cognitivecomputations/... Dataset:cognitivecomputations/... Dataset:cognitivecomputations/...   Dataset:internlm/agent-flan Dataset:locutusque/function-ca... Dataset:m-a-p/codefeedback-fil... Dataset:microsoft/orca-math-wo...   Dataset:teknium/openhermes-2.5   Endpoints compatible   Generated from trainer   Model-index   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/cognitivecomputations/dolphin-2.9.2-qwen2-72b 

Dolphin 2.9.2 Qwen2 72B Benchmarks

MMLU Pro: 49.68
GPQA: 16
MUSR: 17.04
BBH: 47.7
IFEval: 63.44 vs 88 (so35)-27.9%
MATH Lvl 5: 28.02
LLME Score: 0.26543
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dolphin 2.9.2 Qwen2 72B (cognitivecomputations/dolphin-2.9.2-qwen2-72b)
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Dolphin 2.9.2 Qwen2 72B Parameters and Internals

Model Type 
text-generation
Additional Notes 
Trained on data generated from GPT4, among other models. Unfrozen parameters include specific layers.
Training Details 
Data Sources:
cognitivecomputations/Dolphin-2.9, teknium/OpenHermes-2.5, m-a-p/CodeFeedback-Filtered-Instruction, cognitivecomputations/dolphin-coder, cognitivecomputations/samantha-data, microsoft/orca-math-word-problems-200k, Locutusque/function-calling-chatml, internlm/Agent-FLAN
Methodology:
Fine-tuning techniques using ChatML prompt template format.
Context Length:
128000
Input Output 
Input Format:
ChatML prompt template format
Output Format:
text generated
LLM NameDolphin 2.9.2 Qwen2 72B
Repository 🤗https://huggingface.co/cognitivecomputations/dolphin-2.9.2-qwen2-72b 
Base Model(s)  Qwen2 72B   Qwen/Qwen2-72B
Model Size72b
Required VRAM146 GB
Updated2025-07-13
Maintainercognitivecomputations
Model Typeqwen2
Model Files  4.5 GB: 1-of-31   5.0 GB: 2-of-31   4.8 GB: 3-of-31   4.8 GB: 4-of-31   4.8 GB: 5-of-31   5.0 GB: 6-of-31   4.8 GB: 7-of-31   4.8 GB: 8-of-31   4.8 GB: 9-of-31   5.0 GB: 10-of-31   4.8 GB: 11-of-31   4.8 GB: 12-of-31   4.8 GB: 13-of-31   5.0 GB: 14-of-31   4.8 GB: 15-of-31   4.8 GB: 16-of-31   4.8 GB: 17-of-31   5.0 GB: 18-of-31   4.8 GB: 19-of-31   4.8 GB: 20-of-31   4.8 GB: 21-of-31   5.0 GB: 22-of-31   4.8 GB: 23-of-31   4.8 GB: 24-of-31   4.8 GB: 25-of-31   5.0 GB: 26-of-31   4.8 GB: 27-of-31   4.8 GB: 28-of-31   4.8 GB: 29-of-31   3.2 GB: 30-of-31   2.5 GB: 31-of-31
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.40.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than cognitivecomputations/dolphin-2.9.2-qwen2-72b.

Rank the Dolphin 2.9.2 Qwen2 72B 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  
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