Dolphin 2.9.2 Qwen2 7B Bpw6 EXL2 by blockblockblock

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Dolphin 2.9.2 Qwen2 7B Bpw6 EXL2 is an open-source language model by blockblockblock. Features: 7b LLM, VRAM: 6.4GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.14.

  6-bit   Autotrain compatible   Axolotl Base model:quantized:qwen/qwen...   Base model:qwen/qwen2-7b   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   Generated from trainer   Quantized   Qwen2   Region:us   Safetensors

Dolphin 2.9.2 Qwen2 7B Bpw6 EXL2 Benchmarks

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 7B Bpw6 EXL2 (blockblockblock/dolphin-2.9.2-qwen2-7b-bpw6-exl2)
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Dolphin 2.9.2 Qwen2 7B Bpw6 EXL2 Parameters and Internals

LLM NameDolphin 2.9.2 Qwen2 7B Bpw6 EXL2
Repository ๐Ÿค—https://huggingface.co/blockblockblock/dolphin-2.9.2-qwen2-7b-bpw6-exl2 
Base Model(s)  Qwen2 7B   Qwen/Qwen2-7B
Model Size7b
Required VRAM6.4 GB
Updated2025-10-29
Maintainerblockblockblock
Model Typeqwen2
Model Files  6.4 GB
Quantization Typeexl2
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
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 blockblockblock/dolphin-2.9.2-qwen2-7b-bpw6-exl2.

Rank the Dolphin 2.9.2 Qwen2 7B Bpw6 EXL2 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  
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Release v20260328a