What are the hardware requirements for Codellama 34B Bnb 4bit?

Codellama 34B Bnb 4bit requires approximately 18.2 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 34B Bnb 4bit and how large is it?

Codellama 34B Bnb 4bit is developed by unsloth, 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 Codellama 34B Bnb 4bit?

Codellama 34B Bnb 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Codellama 34B Bnb 4bit by unsloth — VRAM 18.2GB, 16K context

Name: Codellama 34B Bnb 4bit
Author: unsloth

Codellama 34B Bnb 4bit is an open-source language model by unsloth. Features: 34b LLM, VRAM: 18.2GB, Context: 16K, License: apache-2.0, Quantized, Code Generating, LLM Explorer Score: 0.1.

4-bit 4bit Bitsandbytes Codegen Codellama Codellama-34b En Endpoints compatible Llama Quantized Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/codellama-34b-bnb-4bit

Codellama 34B Bnb 4bit Parameters and Internals

Model Type

text generation, transformers

Use Cases

Areas:

research, commercial applications

Applications:

finetuning models for specific domains

Considerations:

Unsloth provides Colab notebooks for accessible finetuning.

Additional Notes

Focused on providing convenient, memory-efficient approaches with Colab-supported notebooks for popular models.

Training Details

Hardware Used:

A100

Input Output

Accepted Modalities:

text

Performance Tips:

Ensure to use correct resource allocation in Colab for optimal performance.

LLM Name	Codellama 34B Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/codellama-34b-bnb-4bit
Model Size	34b
Required VRAM	18.2 GB
Updated	2026-05-24
Maintainer	unsloth
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 3.2 GB: 4-of-4
Supported Languages	en
Quantization Type	4bit
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	16384
Model Max Length	16384
Transformers Version	4.44.2
Tokenizer Class	CodeLlamaTokenizer
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 Codellama 34B Bnb 4bit 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

Quantized Models of the Codellama 34B Bnb 4bit

Model	Likes	Downloads	VRAM
Codellama Extraction	0	6	67 GB

Best Alternatives to Codellama 34B Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
CodeLlama 34B Instruct Fp16	16K / 67.5 GB	131	7
CodeLlama 34B Instruct Hf 4bit	16K / 19.4 GB	63	2
Phind Codellama 34B V2 EXL2	16K / GB	8	16
Codellama Extraction	16K / 67.6 GB	6	0
CodeLlama 34B Python Fp16	16K / 67.5 GB	132	14
CodeLlama 34B Fp16	16K / 67.5 GB	25	4
XwinCoder 34B 4.0bpw H6 EXL2	16K / 17.4 GB	3	1
...Codellama 34B V2 Megacode EXL2	16K / GB	3	10
...gpt 32K Codellama 34B Instruct	32K / 67.5 GB	56	2
CodeLlama 34B Instruct Hf	16K / 67.5 GB	22872	304

Note: green Score (e.g. "73.2") means that the model is better than unsloth/codellama-34b-bnb-4bit.