What are the hardware requirements for CodeFuse CodeLlama 34B AWQ?

CodeFuse CodeLlama 34B AWQ requires approximately 18.3 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 CodeFuse CodeLlama 34B AWQ and how large is it?

CodeFuse CodeLlama 34B AWQ is developed by TheBloke, a model with 34b 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 CodeFuse CodeLlama 34B AWQ?

CodeFuse CodeLlama 34B AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

CodeFuse CodeLlama 34B AWQ by TheBloke — VRAM 18.3GB, 16K context

Name: CodeFuse CodeLlama 34B AWQ
Author: TheBloke

CodeFuse CodeLlama 34B AWQ is an open-source language model by TheBloke. Features: 34b LLM, VRAM: 18.3GB, Context: 16K, License: other, Quantized, Code Generating, LLM Explorer Score: 0.09.

4-bit Awq Base model:codefuse-ai/codefus... Base model:quantized:codefuse-... Codegen Llama Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/TheBloke/CodeFuse-CodeLlama-34B-AWQ

CodeFuse CodeLlama 34B AWQ Parameters and Internals

Model Type

llama

Additional Notes

The model can be quantized using methods like AWQ for efficient use on smaller GPUs.

Input Output

Input Format:

<|role_start|>system<|role_end|>{system_message} <|role_start|>human<|role_end|>{prompt} <|role_start|>bot<|role_end>

Accepted Modalities:

text

LLM Name	CodeFuse CodeLlama 34B AWQ
Repository 🤗	https://huggingface.co/TheBloke/CodeFuse-CodeLlama-34B-AWQ
Model Name	CodeFuse CodeLlama 34B
Model Creator	CodeFuse AI
Base Model(s)	CodeFuse CodeLlama 34B codefuse-ai/CodeFuse-CodeLlama-34B
Model Size	34b
Required VRAM	18.3 GB
Updated	2026-07-01
Maintainer	TheBloke
Model Type	llama
Model Files	9.9 GB: 1-of-2 8.4 GB: 2-of-2
AWQ Quantization	Yes
Quantization Type	awq
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	other
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>
Padding Token	<unk>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the CodeFuse CodeLlama 34B 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 CodeFuse CodeLlama 34B AWQ

Best Alternatives	Context / RAM	Downloads	Likes
...echless Codellama 34B V2.0 AWQ	16K / 18.3 GB	6	6
Phind CodeLlama 34B V2 AWQ	16K / 18.3 GB	42	35
...enbuddy Coder 34B V11 Bf16 AWQ	16K / 18.5 GB	4	1
CodeLlama 34B Instruct AWQ	16K / 18.3 GB	57	1
...izardCoder Python 34B V1.0 AWQ	16K / 18.3 GB	11	6
CodeLlama 34B AWQ	16K / 18.3 GB	24	2
MAmmoTH Coder 34B AWQ	16K / 18.3 GB	4	1
CodeLlama 34B Python AWQ	16K / 18.3 GB	8	2
...nd CodeLlama 34B Python V1 AWQ	16K / 18.3 GB	7	2
Phind CodeLlama 34B V1 AWQ	16K / 18.3 GB	6	1

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/CodeFuse-CodeLlama-34B-AWQ.