What are the hardware requirements for Codellama 7B Tofuagent Contpretrain?

Codellama 7B Tofuagent Contpretrain 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 Codellama 7B Tofuagent Contpretrain and how large is it?

Codellama 7B Tofuagent Contpretrain is developed by simonbutt, 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 Codellama 7B Tofuagent Contpretrain?

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

Codellama 7B Tofuagent Contpretrain by simonbutt — VRAM 13.5GB, 16K context

Name: Codellama 7B Tofuagent Contpretrain
Author: simonbutt

Codellama 7B Tofuagent Contpretrain is an open-source language model by simonbutt. Features: 7b LLM, VRAM: 13.5GB, Context: 16K, License: apache-2.0, Quantized, Code Generating, LLM Explorer Score: 0.13.

4bit Base model:finetune:unsloth/co... Base model:unsloth/codellama-7... Codegen En Endpoints compatible Llama Quantized Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/simonbutt/codellama-7b-tofuagent-contpretrain

Codellama 7B Tofuagent Contpretrain Parameters and Internals

Model Type

text-generation-inference

Additional Notes

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

Supported Languages

en (proficiency)

LLM Name	Codellama 7B Tofuagent Contpretrain
Repository 🤗	https://huggingface.co/simonbutt/codellama-7b-tofuagent-contpretrain
Base Model(s)	Codellama 7B Bnb 4bit unsloth/codellama-7b-bnb-4bit
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-07-17
Maintainer	simonbutt
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
Quantization Type	4bit
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	16384
Model Max Length	16384
Transformers Version	4.41.2
Tokenizer Class	CodeLlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32016
Torch Data Type	bfloat16

Rank the Codellama 7B Tofuagent Contpretrain 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 Codellama 7B Tofuagent Contpretrain

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CodeLlama 7B Java 16bit	16K / 13.5 GB	10	0
Codellama 7B Bnb 4bit	16K / 3.9 GB	3695	9
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...B Instruct Hf Bnb 4bit Smashed	16K / 4.2 GB	6	0
CodeLlama 7B Python Onnx Fp16	16K / GB	5	1
CodeLlama 7B Python 4bit MLX	16K / 4 GB	235	14
CodelLama7B Inst DPO 7K Mlx	16K / 4.2 GB	49	4
...pMagic Coder 7B 8.0bpw H8 EXL2	16K / 6.9 GB	3	1
...eLlama 7B Instruct Hf 4bit MLX	16K / 4.2 GB	84	3
CodeLlama 7B Fp16	16K / 13.5 GB	14	7

Note: green Score (e.g. "73.2") means that the model is better than simonbutt/codellama-7b-tofuagent-contpretrain.