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Laser Dolphin Mixtral 4x7b DPO by macadeliccc

 »  All LLMs  »  macadeliccc  »  Laser Dolphin Mixtral 4x7b DPO   URL Share it on

  1740   
  Arxiv:2312.13558   Autotrain compatible   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%
TruthfulQA: 63.77 vs 59 (gpt4)8.1%
WinoGrande: 77.82 vs 87.5 (gpt4)-11.1%
GSM8K: 44.88 vs 96.4 (so35)-53.4%
LLME Score: 0.16003
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
Updated2025-09-23
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 AWQ1513 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 GB906559
Mera Mix 4x7B32K / 48.3 GB972519
Calme 4x7B MoE V0.132K / 48.3 GB90672
Calme 4x7B MoE V0.232K / 48.3 GB85212
MixtureofMerges MoE 4x7b V532K / 48.3 GB78561
MixtureofMerges MoE 4x7b V432K / 48.3 GB90684
CognitiveFusion2 4x7B BF1632K / 48.3 GB86213
Proto Athena 4x7B32K / 48.4 GB50
Proto Athena V0.2 4x7B32K / 48.4 GB60
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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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