What are the hardware requirements for CodeLlama 13B Instruct GGUF?

CodeLlama 13B Instruct GGUF requires approximately 5.4 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 13B Instruct GGUF and how large is it?

CodeLlama 13B Instruct GGUF is developed by second-state, a model with 13b 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 13B Instruct GGUF?

CodeLlama 13B Instruct GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

CodeLlama 13B Instruct GGUF by second-state — VRAM 5.4GB, 16K context

Name: CodeLlama 13B Instruct GGUF
Author: second-state

CodeLlama 13B Instruct GGUF is an open-source language model by second-state. Features: 13b LLM, VRAM: 5.4GB, Context: 16K, License: llama2, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.1.

Base model:codellama/codellama... Base model:quantized:codellama... Code Codegen Gguf Instruct Llama Llama2 Q2 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/second-state/CodeLlama-13B-Instruct-GGUF

CodeLlama 13B Instruct GGUF Parameters and Internals

Model Type

text-generation

LLM Name	CodeLlama 13B Instruct GGUF
Repository 🤗	https://huggingface.co/second-state/CodeLlama-13B-Instruct-GGUF
Model Name	CodeLlama 13B Instruct
Model Creator	Meta
Base Model(s)	CodeLlama 13B Instruct Hf codellama/CodeLlama-13b-Instruct-hf
Model Size	13b
Required VRAM	5.4 GB
Updated	2026-08-07
Maintainer	second-state
Model Type	llama
Instruction-Based	Yes
Model Files	5.4 GB 6.9 GB 6.3 GB 5.7 GB 7.4 GB 7.9 GB 7.4 GB 9.0 GB 9.2 GB 9.0 GB 10.7 GB 13.8 GB 7.4 GB
Supported Languages	code
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	16384
Model Max Length	16384
Transformers Version	4.32.0.dev0
Vocabulary Size	32016
Torch Data Type	bfloat16

Rank the CodeLlama 13B Instruct GGUF 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 13B Instruct GGUF

Best Alternatives	Context / RAM	Downloads	Likes
CodeLlama 13B Instruct Fp16	16K / 26 GB	137	28
...Llama 13B Instruct Hf 4bit MLX	16K / 7.8 GB	113	3
...13B Instruct Nf4 Fp16 Upscaled	16K / 26 GB	6	0
... Codellama Instruct 13B Lora64	16K / 26 GB	31	0
... Instruct 13B Alpacamod Lora64	16K / 26 GB	28	0
...ama Instruct 13B Alpaca Lora64	16K / 26 GB	26	0
NexusRaven V2 13B	16K / 26 GB	105	472
CodeLlama 13B Instruct Hf	16K / 26 GB	2469	160
CodeLlama 13B MORepair	16K / 26 GB	9	2
CodeLlama 13B Instruct Hf	16K / 26 GB	369	29

Note: green Score (e.g. "73.2") means that the model is better than second-state/CodeLlama-13B-Instruct-GGUF.