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

MAmmoTH Coder 34B GPTQ requires approximately 17.7 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 34B GPTQ and how large is it?

MAmmoTH Coder 34B GPTQ 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 GPTQ?

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

MAmmoTH Coder 34B GPTQ by TheBloke — VRAM 17.7GB, 16K context

Name: MAmmoTH Coder 34B GPTQ
Author: TheBloke

MAmmoTH Coder 34B GPTQ is an open-source language model by TheBloke. Features: 34b LLM, VRAM: 17.7GB, Context: 16K, License: mit, Quantized, Code Generating, LLM Explorer Score: 0.08.

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-34B-GPTQ

MAmmoTH Coder 34B GPTQ Parameters and Internals

Model Type

llama

Use Cases

Applications:

educational software, tutoring systems

Primary Use Cases:

solve general math problems

Limitations:

performance may vary based on problem complexity, not all mathematical fields comprehensively covered

Additional Notes

The MAmmoTH series, including MAmmoTH Coder 34B, is designed to tackle general mathematical problems using advanced models collaborated from multiple datasets.

Training Details

Data Sources:

MathInstruct Dataset

Input Output

Input Format:

Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:

Accepted Modalities:

text

Output Format:

text

LLM Name	MAmmoTH Coder 34B GPTQ
Repository 🤗	https://huggingface.co/TheBloke/MAmmoTH-Coder-34B-GPTQ
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	17.7 GB
Updated	2026-08-02
Maintainer	TheBloke
Model Type	llama
Model Files	17.7 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	4.31.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32001
Torch Data Type	bfloat16

Rank the MAmmoTH Coder 34B 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 34B GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
...chless Codellama 34B V2.0 GPTQ	16K / 17.7 GB	6	4
CodeFuse CodeLlama 34B 4bits	16K / 19 GB	26	26
...nbuddy Coder 34B V11 Bf16 GPTQ	16K / 17.9 GB	9	0
Phind CodeLlama 34B V2 GPTQ	16K / 17.7 GB	64	90
CodeLlama 34B Instruct GPTQ	16K / 18.3 GB	150	74
Synthia 34B V1.2 GPTQ	16K / 17.7 GB	9	7
CodeFuse CodeLlama 34B GPTQ	16K / 17.7 GB	4	9
...zardCoder Python 34B V1.0 GPTQ	16K / 17.7 GB	55	62
CodeLlama 34B Guanaco Gptq	16K / 18.3 GB	65	5
...mantha 1.11 CodeLlama 34B GPTQ	16K / 17.7 GB	59	21

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