What are the hardware requirements for CodeLLama SFT FILTERED?

CodeLLama SFT FILTERED 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 SFT FILTERED and how large is it?

CodeLLama SFT FILTERED is developed by MrezaPRZ, 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 SFT FILTERED?

CodeLLama SFT FILTERED is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

CodeLLama SFT FILTERED by MrezaPRZ — VRAM 13.5GB, 16K context

Name: CodeLLama SFT FILTERED
Author: MrezaPRZ

CodeLLama SFT FILTERED is an open-source language model by MrezaPRZ. Features: 7b LLM, VRAM: 13.5GB, Context: 16K, Instruction-Based, Code Generating, LLM Explorer Score: 0.12.

Arxiv:1910.09700 Codegen Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/MrezaPRZ/CodeLLama_SFT_FILTERED

CodeLLama SFT FILTERED Parameters and Internals

LLM Name	CodeLLama SFT FILTERED
Repository 🤗	https://huggingface.co/MrezaPRZ/CodeLLama_SFT_FILTERED
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-08-06
Maintainer	MrezaPRZ
Model Type	llama
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 3.6 GB: 3-of-3
Generates Code	Yes
Model Architecture	LlamaForCausalLM
Context Length	16384
Model Max Length	16384
Transformers Version	4.40.1
Tokenizer Class	CodeLlamaTokenizer
Padding Token	</s>
Vocabulary Size	32016
Torch Data Type	bfloat16

Rank the CodeLLama SFT FILTERED 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 SFT FILTERED

Best Alternatives	Context / RAM	Downloads	Likes
Deepseek Coder 6.7B Instruct	16K / 13.5 GB	535311	507
CodeLlama 7B Instruct Hf	16K / 13.5 GB	58587	258
GetCode Slerp	16K / 13.6 GB	87	1
Stack Codellama 7B Inst	16K / 13.5 GB	66	0
CodeV CL 7B	16K / 13.5 GB	430	1
CodeLlama 7B Instruct Hf	16K / 13.5 GB	2313	63
Glaive Coder 7B	16K / 27 GB	85	55
...deLlama 7B Instruct Hf 8bits Q	16K / 4.2 GB	17	1
Llama 2 7B Chat Finetune5	16K / 13.8 GB	3	1
...ama 7B Instruct Hf Dequantized	16K / 13.5 GB	197	0

Note: green Score (e.g. "73.2") means that the model is better than MrezaPRZ/CodeLLama_SFT_FILTERED.