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

CodeLlama 13B Instruct AWQ requires approximately 7.2 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 AWQ and how large is it?

CodeLlama 13B Instruct AWQ 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 AWQ?

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

CodeLlama 13B Instruct AWQ by TheBloke — VRAM 7.2GB, 16K context

Name: CodeLlama 13B Instruct AWQ
Author: TheBloke

CodeLlama 13B Instruct AWQ is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 7.2GB, Context: 16K, License: llama2, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.09.

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

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

CodeLlama 13B Instruct AWQ Parameters and Internals

Model Type

llama

Use Cases

Areas:

Commercial, Research

Applications:

General code synthesis and understanding, Python programming language specialization, Instruction following

Limitations:

Limited testing beyond English

Considerations:

Perform safety testing and tuning tailored to specific applications.

Additional Notes

Model permits efficient low-bit quantization with AWQ method for faster performance and smaller hardware deployment.

Training Details

Data Sources:

Evol Instruct Code

Methodology:

Pretrained and fine-tuned generative text model for code synthesis and understanding. Quantization supported (AWQ).

Hardware Used:

A100-80GB GPUs on Meta’s Research Super Cluster

Model Architecture:

Optimized transformer architecture using an auto-regressive language model.

Safety Evaluation

Ethical Considerations:

Potential for inaccurate or objectionable responses; extensive testing recommended before deployment.

Responsible Ai Considerations

Mitigation Strategies:

Following Responsible Use Guide available at https://ai.meta.com/llama/responsible-user-guide

LLM Name	CodeLlama 13B Instruct AWQ
Repository 🤗	https://huggingface.co/TheBloke/CodeLlama-13B-Instruct-AWQ
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	7.2 GB
Updated	2026-07-23
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	7.2 GB
Supported Languages	code
AWQ Quantization	Yes
Quantization Type	awq
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	16384
Model Max Length	16384
Transformers Version	4.32.0.dev0
Tokenizer Class	CodeLlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32016
Torch Data Type	bfloat16

Rank the CodeLlama 13B Instruct AWQ 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 AWQ

Best Alternatives	Context / RAM	Downloads	Likes
NexusRaven 13B AWQ	16K / 7.2 GB	22	4
...ma 13B Instruct Hf W4 G128 AWQ	16K / 7.2 GB	10	0
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

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