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MAmmoTH Coder 34B GGUF by TheBloke

 »  All LLMs  »  TheBloke  »  MAmmoTH Coder 34B GGUF   URL Share it on

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  Arxiv:2309.05653 Base model:quantized:tiger-lab... Base model:tiger-lab/mammoth-c...   Codegen   Dataset:tiger-lab/mathinstruct   En   Gguf   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/MAmmoTH-Coder-34B-GGUF 

MAmmoTH Coder 34B GGUF Benchmarks

LLME Score: 0.11284
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 GGUF (TheBloke/MAmmoTH-Coder-34B-GGUF)
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MAmmoTH Coder 34B GGUF Parameters and Internals

Model Type 
llama
Use Cases 
Areas:
Research, Educational software, Tutoring systems
Limitations:
The models' performance may vary based on complexity and specifics of math problems, Not all mathematical fields covered comprehensively
Training Details 
Data Sources:
TIGER-Lab/MathInstruct
Methodology:
Hybrid use of Chain-of-Thought (CoT) and Program-of-Thought (PoT) rationales
Input Output 
Input Format:
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:
LLM NameMAmmoTH Coder 34B GGUF
Repository 🤗https://huggingface.co/TheBloke/MAmmoTH-Coder-34B-GGUF 
Model NameMAmmoTH Coder 34B
Model CreatorTIGER-Lab
Base Model(s)  MAmmoTH Coder 34B   TIGER-Lab/MAmmoTH-Coder-34B
Model Size34b
Required VRAM14.2 GB
Updated2025-09-23
MaintainerTheBloke
Model Typellama
Model Files  14.2 GB   17.8 GB   16.3 GB   14.6 GB   19.1 GB   20.2 GB   19.1 GB   23.2 GB   23.8 GB   23.2 GB   27.7 GB   35.9 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Generates CodeYes
Model ArchitectureAutoModel
Licensemit

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/MAmmoTH-Coder-34B-GGUF.

Rank the MAmmoTH Coder 34B GGUF 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  
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