What are the hardware requirements for MathCoder CL 34B?

MathCoder CL 34B requires approximately 67.5 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 MathCoder CL 34B and how large is it?

MathCoder CL 34B is developed by MathLLMs, 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 MathCoder CL 34B?

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

MathCoder CL 34B by MathLLMs — VRAM 67.5GB, 16K context

Name: MathCoder CL 34B
Author: MathLLMs

MathCoder CL 34B is an open-source language model by MathLLMs. Features: 34b LLM, VRAM: 67.5GB, Context: 16K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.09.

Arxiv:2310.03731 Codegen En Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/MathLLMs/MathCoder-CL-34B

MathCoder CL 34B Parameters and Internals

Model Type

text generation

Additional Notes

The models are specifically tailored for general math problem-solving.

Supported Languages

en (Proficient)

Training Details

Data Sources:

MathCodeInstruct Dataset

Methodology:

Fine-tuned with the MathCodeInstruct dataset using the original Llama-2 and CodeLlama models as base models

LLM Name	MathCoder CL 34B
Repository 🤗	https://huggingface.co/MathLLMs/MathCoder-CL-34B
Model Size	34b
Required VRAM	67.5 GB
Updated	2026-08-01
Maintainer	MathLLMs
Model Type	llama
Instruction-Based	Yes
Model Files	9.8 GB: 1-of-7 9.7 GB: 2-of-7 9.7 GB: 3-of-7 9.7 GB: 4-of-7 9.7 GB: 5-of-7 9.7 GB: 6-of-7 9.2 GB: 7-of-7
Supported Languages	en
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	apache-2.0
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	32008
Torch Data Type	bfloat16

Rank the MathCoder CL 34B 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 MathCoder CL 34B

Best Alternatives	Context / RAM	Downloads	Likes
...gpt 32K Codellama 34B Instruct	32K / 67.5 GB	56	2
CodeLlama 34B Instruct Hf	16K / 67.5 GB	22872	304
CodeLlama 34B Instruct Hf	16K / 1.4 GB	7	3
CodeLlama 34B Instruct Hf	16K / 1.4 GB	5	3
Speechless Codellama 34B V2.0	16K / 67.5 GB	96	17
CodeLlama 34B Instruct Hf	16K / 67.5 GB	622	19
Speechless Codellama 34B V1.9	16K / 67.5 GB	286	0
XAgentLLaMa 34B Preview	16K / 157.3 GB	3	3
CodeFuse CodeLlama 34B	16K / 67.5 GB	350	93
...gpt 16K Codellama 34B Instruct	16K / 67.5 GB	11	4

Note: green Score (e.g. "73.2") means that the model is better than MathLLMs/MathCoder-CL-34B.