Laser Dolphin Mixtral 2x7b DPO 8.0bpw H8 EXL2 by LoneStriker

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Laser Dolphin Mixtral 2x7b DPO 8.0bpw H8 EXL2 is an open-source language model by LoneStriker. Features: 7b LLM, VRAM: 13GB, Context: 32K, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.11.

  Arxiv:2312.13558   Endpoints compatible   Exl2   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Laser Dolphin Mixtral 2x7b DPO 8.0bpw H8 EXL2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Laser Dolphin Mixtral 2x7b DPO 8.0bpw H8 EXL2 Parameters and Internals

LLM NameLaser Dolphin Mixtral 2x7b DPO 8.0bpw H8 EXL2
Repository 🤗https://huggingface.co/LoneStriker/laser-dolphin-mixtral-2x7b-dpo-8.0bpw-h8-exl2 
Model Size7b
Required VRAM13 GB
Updated2026-05-09
MaintainerLoneStriker
Model Typemixtral
Model Files  8.6 GB: 1-of-2   4.4 GB: 2-of-2
Quantization Typeexl2
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32001
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/laser-dolphin-mixtral-2x7b-dpo-8.0bpw-h8-exl2.

Rank the Laser Dolphin Mixtral 2x7b DPO 8.0bpw H8 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  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a