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Dolphin 2.9.2 Qwen2 72B 6.0bpw EXL2 by bigstorm

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Dolphin 2.9.2 Qwen2 72B 6.0bpw EXL2 is an open-source language model by bigstorm. Features: 72b LLM, VRAM: 56.1GB, Context: 128K, License: other, Quantized, LLM Explorer Score: 0.14.

  6-bit   Axolotl Base model:quantized:qwen/qwen...   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   Exl2   Exllamasv2   Generated from trainer   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bigstorm/dolphin-2.9.2-qwen2-72b-6.0bpw-exl2 

Dolphin 2.9.2 Qwen2 72B 6.0bpw EXL2 Benchmarks

LLME Score: 0.13646
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 6.0bpw EXL2 (bigstorm/dolphin-2.9.2-qwen2-72b-6.0bpw-exl2)
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Dolphin 2.9.2 Qwen2 72B 6.0bpw EXL2 Parameters and Internals

Model Type 
AutoModelForCausalLM
Additional Notes 
Dolphin-2.9.2 has a variety of instruction, conversational, and coding skills. It also has initial agentic abilities and supports function calling. Dolphin is licensed according to Qwen's tongyi-qianwen license. We grant permission for any use, including commercial, that falls within accordance with said license.
Training Details 
Data Sources:
GPT4, 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:
FFT on parameters selected by Laser Scanner, using ChatML prompt template format
Context Length:
8192
Hardware Used:
Crusoe Cloud 8xH100 node
Safety Evaluation 
Ethical Considerations:
You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant with any requests, even unethical ones.
LLM NameDolphin 2.9.2 Qwen2 72B 6.0bpw EXL2
Repository 🤗https://huggingface.co/bigstorm/dolphin-2.9.2-qwen2-72b-6.0bpw-exl2 
Base Model(s)  Qwen2 72B   Qwen/Qwen2-72B
Model Size72b
Required VRAM56.1 GB
Updated2026-05-14
Maintainerbigstorm
Model Typeqwen2
Model Files  8.5 GB: 1-of-7   8.4 GB: 2-of-7   8.5 GB: 3-of-7   8.5 GB: 4-of-7   8.5 GB: 5-of-7   8.4 GB: 6-of-7   5.3 GB: 7-of-7
Quantization Typeexl2
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 bigstorm/dolphin-2.9.2-qwen2-72b-6.0bpw-exl2.

Rank the Dolphin 2.9.2 Qwen2 72B 6.0bpw EXL2 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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