What are the hardware requirements for CodeLlama 34B Instruct Hf 4bit?

CodeLlama 34B Instruct Hf 4bit requires approximately 19.4 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 34B Instruct Hf 4bit and how large is it?

CodeLlama 34B Instruct Hf 4bit is developed by mlx-community, a model with 34b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does CodeLlama 34B Instruct Hf 4bit perform on standard benchmarks?

CodeLlama 34B Instruct Hf 4bit has the following published scores: LMSYS ELO 1136. Compare against reference models on this page or on the LLM Explorer leaderboards.

CodeLlama 34B Instruct Hf 4bit by mlx-community — VRAM 19.4GB, 16K context

Name: CodeLlama 34B Instruct Hf 4bit
Author: mlx-community

CodeLlama 34B Instruct Hf 4bit is an open-source language model by mlx-community. Features: 34b LLM, VRAM: 19.4GB, Context: 16K, License: llama2, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.22, ELO: 1136.

4bit Code Codegen Instruct Llama Llama2 Mlx Quantized Region:us Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/CodeLlama-34b-Instruct-hf-4bit

CodeLlama 34B Instruct Hf 4bit Benchmarks

LMSys ELO 1136 vs 1272 (so35) -10.7%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

CodeLlama 34B Instruct Hf 4bit Parameters and Internals

LLM Name	CodeLlama 34B Instruct Hf 4bit
Repository 🤗	https://huggingface.co/mlx-community/CodeLlama-34b-Instruct-hf-4bit
Model Size	34b
Required VRAM	19.4 GB
Updated	2026-07-28
Maintainer	mlx-community
Model Type	llama
Instruction-Based	Yes
Model Files	5.3 GB: 1-of-4 5.4 GB: 2-of-4 5.3 GB: 3-of-4 3.4 GB: 4-of-4 3.3 GB
Supported Languages	code
Quantization Type	4bit
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	16384
Model Max Length	16384
Transformers Version	4.37.2
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the CodeLlama 34B Instruct Hf 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

Best Alternatives to CodeLlama 34B Instruct Hf 4bit

Best Alternatives	Context / RAM	Downloads	Likes
CodeLlama 34B Instruct Fp16	16K / 67.5 GB	131	7
...gpt 32K Codellama 34B Instruct	32K / 67.5 GB	56	2
CodeLlama 34B Instruct Hf	16K / 67.5 GB	22872	304
CodeLlama 34B Instruct Hf	16K / 1.4 GB	7	3
CodeLlama 34B Instruct Hf	16K / 1.4 GB	5	3
Speechless Codellama 34B V2.0	16K / 67.5 GB	96	17
CodeLlama 34B Instruct Hf	16K / 67.5 GB	622	19
Speechless Codellama 34B V1.9	16K / 67.5 GB	286	0
XAgentLLaMa 34B Preview	16K / 157.3 GB	3	3
CodeFuse CodeLlama 34B	16K / 67.5 GB	350	93

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/CodeLlama-34b-Instruct-hf-4bit.