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

CodeLlama 13B Instruct GPTQ requires approximately 7.3 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 GPTQ and how large is it?

CodeLlama 13B Instruct GPTQ is developed by TheBloke, 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 GPTQ?

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

CodeLlama 13B Instruct GPTQ by TheBloke — VRAM 7.3GB, 16K context

Name: CodeLlama 13B Instruct GPTQ
Author: TheBloke

CodeLlama 13B Instruct GPTQ is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 7.3GB, Context: 16K, License: llama2, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.09.

Arxiv:2308.12950 4-bit Base model:codellama/codellama... Base model:quantized:codellama... Code Codegen Custom code Gptq Instruct Llama Llama2 Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/CodeLlama-13B-Instruct-GPTQ

CodeLlama 13B Instruct GPTQ Parameters and Internals

Model Type

llama

Use Cases

Areas:

commercial, research

Applications:

code synthesis, code understanding

Additional Notes

Intended for code synthesis and understanding. Designed specifically for Python in the Code Llama - Python variant, while the Instruct variant is for instruction following and safer deployment.

Input Output

Input Format:

text

Accepted Modalities:

text

Output Format:

text

LLM Name	CodeLlama 13B Instruct GPTQ
Repository 🤗	https://huggingface.co/TheBloke/CodeLlama-13B-Instruct-GPTQ
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	7.3 GB
Updated	2026-08-08
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	7.3 GB
Supported Languages	code
GPTQ Quantization	Yes
Quantization Type	gptq
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	16384
Model Max Length	16384
Transformers Version	4.32.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32016
Torch Data Type	float16

Rank the CodeLlama 13B Instruct GPTQ 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 GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
NexusRaven 13B GPTQ	16K / 7.3 GB	35	7
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
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
TableLLM 13B	16K / 26 GB	98	34
CodeLlama 13B Instruct GGUF	16K / 5.4 GB	611	2

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