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Laser Dolphin Mixtral 4x7b DPO by macadeliccc

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Laser Dolphin Mixtral 4x7b DPO is an open-source language model by macadeliccc. Features: 24.2b LLM, VRAM: 48.3GB, Context: 32K, License: apache-2.0, MoE, LLM Explorer Score: 0.13, Arc: 64.9, HellaSwag: 85.8, MMLU: 63, GSM8K: 44.9.

  Arxiv:2312.13558   Endpoints compatible   Mixtral   Model-index   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/macadeliccc/laser-dolphin-mixtral-4x7b-dpo 

Laser Dolphin Mixtral 4x7b DPO Benchmarks

ARC: 64.93 vs 96.7 (so35)-32.9%
HellaSwag: 85.81 vs 95.3 (gpt4)-10%
MMLU: 63.04 vs 88.3 (so35)-28.6%
GSM8K: 44.88 vs 96.4 (so35)-53.4%
LLME Score: 0.1271
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 (macadeliccc/laser-dolphin-mixtral-4x7b-dpo)
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Laser Dolphin Mixtral 4x7b DPO Parameters and Internals

Model Type 
text-generation
LLM NameLaser Dolphin Mixtral 4x7b DPO
Repository 🤗https://huggingface.co/macadeliccc/laser-dolphin-mixtral-4x7b-dpo 
Model Size24.2b
Required VRAM48.3 GB
Updated2026-05-16
Maintainermacadeliccc
Model Typemixtral
Model Files  9.9 GB: 1-of-5   10.0 GB: 2-of-5   10.0 GB: 3-of-5   10.0 GB: 4-of-5   8.4 GB: 5-of-5
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Laser Dolphin Mixtral 4x7b DPO

Model
Likes
Downloads
VRAM
...r Dolphin Mixtral 4x7b DPO AWQ1313 GB

Best Alternatives to Laser Dolphin Mixtral 4x7b DPO

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Dzakwan MoE 4x7b Beta32K / 48.4 GB90720
Beyonder 4x7B V332K / 48.3 GB826660
Calme 4x7B MoE V0.232K / 48.3 GB83742
Calme 4x7B MoE V0.132K / 48.3 GB82192
Mera Mix 4x7B32K / 48.3 GB831719
MixtureofMerges MoE 4x7b V532K / 48.3 GB78111
MixtureofMerges MoE 4x7b V432K / 48.3 GB78894
CognitiveFusion2 4x7B BF1632K / 48.3 GB82453
Proto Athena 4x7B32K / 48.4 GB70
Proto Athena V0.2 4x7B32K / 48.4 GB70
Note: green Score (e.g. "73.2") means that the model is better than macadeliccc/laser-dolphin-mixtral-4x7b-dpo.

Rank the Laser Dolphin Mixtral 4x7b DPO 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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