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MAmmoTH Coder 34B by TIGER-Lab

 »  All LLMs  »  TIGER-Lab  »  MAmmoTH Coder 34B   URL Share it on

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  Arxiv:2309.05653   Autotrain compatible   Codegen   Dataset:tiger-lab/mathinstruct   En   Endpoints compatible   Llama   Pytorch   Region:us   Sharded

MAmmoTH Coder 34B Benchmarks

LLME Score: 0.14439
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

MAmmoTH Coder 34B Parameters and Internals

LLM NameMAmmoTH Coder 34B
Repository 🤗https://huggingface.co/TIGER-Lab/MAmmoTH-Coder-34B 
Model Size34b
Required VRAM67.5 GB
Updated2024-11-08
MaintainerTIGER-Lab
Model Typellama
Model Files  9.8 GB: 1-of-7   9.7 GB: 2-of-7   9.7 GB: 3-of-7   9.7 GB: 4-of-7   9.7 GB: 5-of-7   9.7 GB: 6-of-7   9.2 GB: 7-of-7
Supported Languagesen
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length16384
Model Max Length16384
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32001
Torch Data Typebfloat16
MAmmoTH Coder 34B (TIGER-Lab/MAmmoTH-Coder-34B)

Quantized Models of the MAmmoTH Coder 34B

Model
Likes
Downloads
VRAM
MAmmoTH Coder 34B GGUF235814 GB
MAmmoTH Coder 34B GPTQ22817 GB
MAmmoTH Coder 34B AWQ11818 GB

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CodeLlama 34B Python Hf16K / 67.5 GB405794
Note: green Score (e.g. "73.2") means that the model is better than TIGER-Lab/MAmmoTH-Coder-34B.

Rank the MAmmoTH Coder 34B 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 v2024072803
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