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Laser Dolphin Mixtral 4x7b DPO AWQ by macadeliccc

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Laser Dolphin Mixtral 4x7b DPO AWQ is an open-source language model by macadeliccc. Features: 24.2b LLM, VRAM: 13GB, Context: 32K, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.12.

  4-bit   Awq Base model:macadeliccc/laser-d... Base model:quantized:macadelic...   Endpoints compatible   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/macadeliccc/laser-dolphin-mixtral-4x7b-dpo-AWQ 

Laser Dolphin Mixtral 4x7b DPO AWQ Benchmarks

LLME Score: 0.11978
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 4x7b DPO AWQ (macadeliccc/laser-dolphin-mixtral-4x7b-dpo-AWQ)
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Laser Dolphin Mixtral 4x7b DPO AWQ Parameters and Internals

LLM NameLaser Dolphin Mixtral 4x7b DPO AWQ
Repository 🤗https://huggingface.co/macadeliccc/laser-dolphin-mixtral-4x7b-dpo-AWQ 
Base Model(s)  Laser Dolphin Mixtral 4x7b DPO   macadeliccc/laser-dolphin-mixtral-4x7b-dpo
Model Size24.2b
Required VRAM13 GB
Updated2026-04-28
Maintainermacadeliccc
Model Typemixtral
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   3.0 GB: 3-of-3
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typefloat16

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Mera Mix 4x7B32K / 48.3 GB831719
Note: green Score (e.g. "73.2") means that the model is better than macadeliccc/laser-dolphin-mixtral-4x7b-dpo-AWQ.

Rank the Laser Dolphin Mixtral 4x7b DPO AWQ 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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