Laser Dolphin Mixtral 2x7b DPO AWQ by macadeliccc

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Laser Dolphin Mixtral 2x7b DPO AWQ is an open-source language model by macadeliccc. Features: 12.9b LLM, VRAM: 7.1GB, Context: 32K, License: cc, MoE, Quantized, LLM Explorer Score: 0.12, Arc: 66, HellaSwag: 85.8, MMLU: 63.2, GSM8K: 48.3.

  4-bit   Awq   Endpoints compatible   Mixtral   Moe   Quantized   Region:us   Safetensors

Laser Dolphin Mixtral 2x7b DPO AWQ 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 AWQ Parameters and Internals

Additional Notes 
Quantization: 4-bit
LLM NameLaser Dolphin Mixtral 2x7b DPO AWQ
Repository 🤗https://huggingface.co/macadeliccc/laser-dolphin-mixtral-2x7b-dpo-AWQ 
Model Size12.9b
Required VRAM7.1 GB
Updated2026-07-08
Maintainermacadeliccc
Model Typemixtral
Model Files  7.1 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Licensecc
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than macadeliccc/laser-dolphin-mixtral-2x7b-dpo-AWQ.

Rank the Laser Dolphin Mixtral 2x7b 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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Release v20260328a