What are the hardware requirements for MAmmoTH Coder 34B GGUF?

MAmmoTH Coder 34B GGUF requires approximately 14.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MAmmoTH Coder 34B GGUF and how large is it?

MAmmoTH Coder 34B GGUF is developed by TheBloke, a model with 34b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate MAmmoTH Coder 34B GGUF?

MAmmoTH Coder 34B GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MAmmoTH Coder 34B GGUF by TheBloke — VRAM 14.2GB

Name: MAmmoTH Coder 34B GGUF
Author: TheBloke

MAmmoTH Coder 34B GGUF is an open-source language model by TheBloke. Features: 34b LLM, VRAM: 14.2GB, License: mit, Quantized, Code Generating, LLM Explorer Score: 0.09.

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 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 Name	MAmmoTH Coder 34B GGUF
Repository 🤗	https://huggingface.co/TheBloke/MAmmoTH-Coder-34B-GGUF
Model Name	MAmmoTH Coder 34B
Model Creator	TIGER-Lab
Base Model(s)	MAmmoTH Coder 34B TIGER-Lab/MAmmoTH-Coder-34B
Model Size	34b
Required VRAM	14.2 GB
Updated	2026-07-31
Maintainer	TheBloke
Model Type	llama
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 Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Generates Code	Yes
Model Architecture	AutoModel
License	mit

Rank the MAmmoTH Coder 34B GGUF capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to MAmmoTH Coder 34B GGUF

Best Alternatives	Context / RAM	Downloads	Likes
CodeLlama 34B Python Hf GGUF	0K / 12.5 GB	514	1
CodeLlama 34B Instruct Hf GGUF	0K / 12.5 GB	412	1
Phind CodeLlama 34B V2 GGUF	0K / 14.2 GB	3383	171
CodeLlama 34B Hf GGUF	0K / 12.5 GB	161	3
CodeLlama 34B Instruct GGUF	0K / 14.2 GB	2053	108
...allistic CodeLlama 34B V1 GGUF	0K / 35.9 GB	62	0
CodeLlama 34B GGUF	0K / 14.2 GB	1682	56
...mantha 1.11 CodeLlama 34B GGUF	0K / 14.2 GB	1430	18
...chless Codellama 34B V2.0 GGUF	0K / 14.2 GB	337	10
...d CodeLlama 34B Python V1 GGUF	0K / 14.2 GB	1245	13

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