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

MAmmoTH Coder 13B GPTQ requires approximately 7.3 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 GPTQ and how large is it?

MAmmoTH Coder 13B GPTQ 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 GPTQ?

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

MAmmoTH Coder 13B GPTQ by TheBloke — VRAM 7.3GB, 16K context

Name: MAmmoTH Coder 13B GPTQ
Author: TheBloke

MAmmoTH Coder 13B GPTQ is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 7.3GB, Context: 16K, License: mit, Quantized, Code Generating, LLM Explorer Score: 0.09.

Arxiv:2309.05653 4-bit Base model:quantized:tiger-lab... Base model:tiger-lab/mammoth-c... Codegen Dataset:tiger-lab/mathinstruct En Gptq Llama Quantized Region:us Safetensors

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

MAmmoTH Coder 13B GPTQ Parameters and Internals

Model Type

llama

Additional Notes

The quantization was carried out by TheBloke, with multiple GPTQ parameters available for various hardware configurations.

Training Details

Data Sources:

TIGER-Lab/MathInstruct

Methodology:

fine-tuned with the MathInstruct dataset using the original Llama-2 and Code Llama models as base models

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 GPTQ
Repository 🤗	https://huggingface.co/TheBloke/MAmmoTH-Coder-13B-GPTQ
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	7.3 GB
Updated	2026-07-25
Maintainer	TheBloke
Model Type	llama
Model Files	7.3 GB
Supported Languages	en
GPTQ Quantization	Yes
Quantization Type	gptq
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 GPTQ 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 GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
NexusRaven 13B GPTQ	16K / 7.3 GB	35	7
CodeLlama 13B GPTQ ERP	16K / 7 GB	4	3
...zardCoder Python 13B V1.0 GPTQ	16K / 7.3 GB	199	76
CodeLlama 13B Instruct GPTQ	16K / 7.3 GB	75	39
...deLlama 13B Oasst Sft V10 GPTQ	16K / 7.3 GB	43	13
CodeLlama 13B GPTQ	16K / 7.3 GB	62	12
CodeLlama 13B Python GPTQ	16K / 7.3 GB	19	20
WhiteRabbitNeo 13B V1	16K / 26 GB	3146	453
CodeLlama 13B Python Fp16	16K / 26 GB	121	25
CodeLlama 13B Fp16	16K / 26 GB	9	67

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