What are the hardware requirements for MathCoder2 CodeLlama 7B?

MathCoder2 CodeLlama 7B requires approximately 13.5 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 MathCoder2 CodeLlama 7B and how large is it?

MathCoder2 CodeLlama 7B is developed by MathGenie, a model with 7b 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 MathCoder2 CodeLlama 7B?

MathCoder2 CodeLlama 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MathCoder2 CodeLlama 7B by MathGenie — VRAM 13.5GB, 16K context

Name: MathCoder2 CodeLlama 7B
Author: MathGenie

MathCoder2 CodeLlama 7B is an open-source language model by MathGenie. Features: 7b LLM, VRAM: 13.5GB, Context: 16K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.14.

Arxiv:2410.08196 Base model:codellama/codellama... Base model:finetune:codellama/... Codegen Dataset:mathgenie/mathcode-pil... En Llama Math Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/MathGenie/MathCoder2-CodeLlama-7B

MathCoder2 CodeLlama 7B Parameters and Internals

Model Type

text-generation

Supported Languages

en (Full Proficiency)

Training Details

Data Sources:

MathCode-Pile

Methodology:

Continued pretraining on mathematical code along with reasoning steps

LLM Name	MathCoder2 CodeLlama 7B
Repository 🤗	https://huggingface.co/MathGenie/MathCoder2-CodeLlama-7B
Base Model(s)	CodeLlama 7B Hf codellama/CodeLlama-7b-hf
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-08-06
Maintainer	MathGenie
Model Type	llama
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 3.6 GB: 3-of-3
Supported Languages	en
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	16384
Model Max Length	16384
Transformers Version	4.43.2
Tokenizer Class	CodeLlamaTokenizer
Padding Token	</s>
Vocabulary Size	32016
Torch Data Type	bfloat16

Rank the MathCoder2 CodeLlama 7B 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 MathCoder2 CodeLlama 7B

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Deepseek Coder 6.7B Instruct	16K / 13.5 GB	535311	507
CodeLlama 7B Hf	16K / 13.5 GB	254150	377
CodeLlama 7B Instruct Hf	16K / 13.5 GB	58587	258
GetCode Slerp	16K / 13.6 GB	87	1
Wizardllama 7B	16K / 13.5 GB	48	0
GoLLIE 7B	16K / 40.5 GB	2779	32
Codellama 7B Hf ReFT GSM8k	16K / 13.5 GB	459	1
Stack Codellama 7B Inst	16K / 13.5 GB	66	0
CodeLlama 7B Python Hf	16K / 13.5 GB	1935	146
CodeV CL 7B	16K / 13.5 GB	430	1

Note: green Score (e.g. "73.2") means that the model is better than MathGenie/MathCoder2-CodeLlama-7B.