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Camelidae 8x34B by hywu

 »  All LLMs  »  hywu  »  Camelidae 8x34B   URL Share it on

  1655   
  Arxiv:1902.00751   Arxiv:2212.05055   Arxiv:2305.14314   Arxiv:2401.02731   Autotrain compatible   Camelidae   Custom code Dataset:ise-uiuc/magicoder-evo... Dataset:ise-uiuc/magicoder-oss...   Dataset:meta-math/metamathqa   Dataset:open-orca/slimorca   En   Endpoints compatible   Instruct   Moe   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/hywu/Camelidae-8x34B 

Camelidae 8x34B Benchmarks

LLME Score: 0.14815
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Camelidae 8x34B (hywu/Camelidae-8x34B)
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Camelidae 8x34B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Limitations:
Camelidae models are developed for academic research and free commercial use, All usage must adhere to the license from facebookresearch and 01-ai
Additional Notes 
The Camelidae and Qwen2idae models utilize Parameter-Efficient Sparsity Crafting to optimize instruction tuning processes.
Supported Languages 
en (High proficiency)
Training Details 
Data Sources:
Open-Orca/SlimOrca, ise-uiuc/Magicoder-OSS-Instruct-75K, ise-uiuc/Magicoder-Evol-Instruct-110K, meta-math/MetaMathQA
Methodology:
Parameter-Efficient Sparsity Crafting
Model Architecture:
Dense to Mixture-of-Experts
Input Output 
Input Format:
Tokenized input (prompt format for human-assistant conversation)
Accepted Modalities:
text
Output Format:
Text
Performance Tips:
Use device_map='auto' for optimal hardware utilization.
Release Notes 
Version:
1.0
Date:
2024-03-12
Notes:
Release of Qwen2idae-16x14B-v1.0 with 15B activated params.
LLM NameCamelidae 8x34B
Repository 🤗https://huggingface.co/hywu/Camelidae-8x34B 
Required VRAM76 GB
Updated2025-09-23
Maintainerhywu
Model Typecamelidae
Instruction-BasedYes
Model Files  9.8 GB: 1-of-8   9.9 GB: 2-of-8   9.9 GB: 3-of-8   9.9 GB: 4-of-8   9.9 GB: 5-of-8   9.9 GB: 6-of-8   9.9 GB: 7-of-8   6.8 GB: 8-of-8
Supported Languagesen
Model Architecturemodeling_camelidae.LlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<|startoftext|>
End of Sentence Token<|endoftext|>
Unk Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than hywu/Camelidae-8x34B.

Rank the Camelidae 8x34B 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 v20241124
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