What are the hardware requirements for MAmmoTH Coder 13B?

MAmmoTH Coder 13B requires approximately 52.1 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

MAmmoTH Coder 13B is developed by TIGER-Lab, 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?

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

MAmmoTH Coder 13B by TIGER-Lab — VRAM 52.1GB, 16K context

Name: MAmmoTH Coder 13B
Author: TIGER-Lab

MAmmoTH Coder 13B is an open-source language model by TIGER-Lab. Features: 13b LLM, VRAM: 52.1GB, Context: 16K, License: mit, Code Generating, LLM Explorer Score: 0.09.

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

Model Card on HF 🤗: https://huggingface.co/TIGER-Lab/MAmmoTH-Coder-13B

MAmmoTH Coder 13B 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 Name	MAmmoTH Coder 13B
Repository 🤗	https://huggingface.co/TIGER-Lab/MAmmoTH-Coder-13B
Model Size	13b
Required VRAM	52.1 GB
Updated	2026-07-13
Maintainer	TIGER-Lab
Model Type	llama
Model Files	10.0 GB: 1-of-6 9.9 GB: 2-of-6 9.9 GB: 3-of-6 9.9 GB: 4-of-6 9.9 GB: 5-of-6 2.5 GB: 6-of-6
Supported Languages	en
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	mit
Context Length	16384
Model Max Length	16384
Transformers Version	4.32.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32017
Torch Data Type	float32

Rank the MAmmoTH Coder 13B 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

Quantized Models of the MAmmoTH Coder 13B

Model	Likes	Downloads	VRAM
MAmmoTH Coder 13B GGUF	4	723	5 GB
MAmmoTH Coder 13B GPTQ	3	4	7 GB
MAmmoTH Coder 13B AWQ	1	6	7 GB

Best Alternatives to MAmmoTH Coder 13B

Best Alternatives	Context / RAM	Downloads	Likes
NexusRaven V2 13B	16K / 26 GB	105	472
CodeLlama 13B Instruct Hf	16K / 26 GB	2469	160
CodeLlama 13B MORepair	16K / 26 GB	9	2
CodeLlama 13B Hf	16K / 26 GB	3466	117
Tora Code 13B V1.0	16K / 26 GB	878	15
CodeLlama 13B Python Hf	16K / 26 GB	558	51
...ma 13B Hf Truncated Embeddings	16K / 52.3 GB	5	0
...ma Airoboros Orca Platypus 13B	16K / 26 GB	117	0
Codellama 13B Oasst Sft V10	16K / 25.9 GB	184	70
CodeLlama 13B Hf	16K / 26 GB	224	0

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