What are the hardware requirements for MAmmoTH Coder 13B GGUF?

MAmmoTH Coder 13B GGUF requires approximately 5.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MAmmoTH Coder 13B GGUF and how large is it?

MAmmoTH Coder 13B GGUF is developed by TheBloke, a model with 13b 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 13B GGUF?

MAmmoTH Coder 13B GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MAmmoTH Coder 13B GGUF by TheBloke — VRAM 5.4GB

Name: MAmmoTH Coder 13B GGUF
Author: TheBloke

MAmmoTH Coder 13B GGUF is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 5.4GB, 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-13B-GGUF

MAmmoTH Coder 13B 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 13B GGUF
Repository 🤗	https://huggingface.co/TheBloke/MAmmoTH-Coder-13B-GGUF
Model Name	MAmmoTH Coder 13B
Model Creator	TIGER-Lab
Base Model(s)	MAmmoTH Coder 13B TIGER-Lab/MAmmoTH-Coder-13B
Model Size	13b
Required VRAM	5.4 GB
Updated	2026-08-04
Maintainer	TheBloke
Model Type	llama
Model Files	5.4 GB 6.9 GB 6.3 GB 5.7 GB 7.4 GB 7.9 GB 7.4 GB 9.0 GB 9.2 GB 9.0 GB 10.7 GB 13.8 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Generates Code	Yes
Model Architecture	AutoModel
License	mit

Rank the MAmmoTH Coder 13B 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 13B GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Codellama 7B Instruct GGUF	0K / 2.8 GB	166	1
Codellama 13B Instruct GGUF	0K / 13.8 GB	28	0
CodeLlama 13B Instruct GGUF	0K / 5.4 GB	3987	132
...deLlama 13B Oasst Sft V10 GGUF	0K / 5.4 GB	3894	14
CodeLlama 13B Python GGUF	0K / 5.4 GB	1805	36
CodeLlama 13B GGUF	0K / 5.4 GB	1262	60
CodeLlama 13B GGML	0K / 5.7 GB	11	33
CodeLlama 13B Instruct GGML	0K / 5.7 GB	11	19
...deLlama 13B Oasst Sft V10 GGML	0K / 5.7 GB	11	6
CodeLlama 13B Python GGML	0K / 5.5 GB	5	18

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/MAmmoTH-Coder-13B-GGUF.