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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
Model Card on HF 🤗: https://huggingface.co/TIGER-Lab/MAmmoTH-Coder-34B 

MAmmoTH Coder 34B Benchmarks

LLME Score: 0.12733
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 (TIGER-Lab/MAmmoTH-Coder-34B)

MAmmoTH Coder 34B Parameters and Internals

Model Type 
Text generation, Math problem-solving
Use Cases 
Applications:
Research, Educational software, Tutoring systems
Primary Use Cases:
General math problem-solving
Limitations:
Performance may vary based on complexity and specifics of the math problem
Considerations:
Not all mathematical fields may be comprehensively covered
Supported Languages 
en (High)
Training Details 
Data Sources:
MathInstruct Dataset
Methodology:
Hybrid Instruction Tuning with Chain-of-Thought and Program-of-Thought rationales
Input Output 
Input Format:
Instruction-based with CoT or PoT rationale
Accepted Modalities:
text
Output Format:
Text - Solution to math problem
LLM NameMAmmoTH Coder 34B
Repository 🤗https://huggingface.co/TIGER-Lab/MAmmoTH-Coder-34B 
Model Size34b
Required VRAM67.5 GB
Updated2025-03-14
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

Quantized Models of the MAmmoTH Coder 34B

Model
Likes
Downloads
VRAM
MAmmoTH Coder 34B GGUF235314 GB
MAmmoTH Coder 34B GPTQ25517 GB
MAmmoTH Coder 34B AWQ11618 GB

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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

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241227
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