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Laser Dolphin Mixtral 2x7b DPO GPTQ by TheBloke

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Laser Dolphin Mixtral 2x7b DPO GPTQ is an open-source language model by TheBloke. Features: 12.9b LLM, VRAM: 7.1GB, Context: 32K, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.11.

  Arxiv:2312.13558   4-bit Base model:macadeliccc/laser-d... Base model:quantized:macadelic...   Gptq   Mixtral   Moe   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/laser-dolphin-mixtral-2x7b-dpo-GPTQ 

Laser Dolphin Mixtral 2x7b DPO GPTQ Benchmarks

LLME Score: 0.11162
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 GPTQ (TheBloke/laser-dolphin-mixtral-2x7b-dpo-GPTQ)
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Laser Dolphin Mixtral 2x7b DPO GPTQ Parameters and Internals

LLM NameLaser Dolphin Mixtral 2x7b DPO GPTQ
Repository 🤗https://huggingface.co/TheBloke/laser-dolphin-mixtral-2x7b-dpo-GPTQ 
Model NameLaser Dolphin Mixtral 2X7B DPO
Model Creatortim
Base Model(s)  Laser Dolphin Mixtral 2x7b DPO   macadeliccc/laser-dolphin-mixtral-2x7b-dpo
Model Size12.9b
Required VRAM7.1 GB
Updated2026-05-25
MaintainerTheBloke
Model Typemixtral
Model Files  7.1 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
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 TheBloke/laser-dolphin-mixtral-2x7b-dpo-GPTQ.

Rank the Laser Dolphin Mixtral 2x7b DPO GPTQ Capabilities

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Instruction Following and Task Automation  
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