What are the hardware requirements for Opencsg CodeLlama 34B V0.2?

Opencsg CodeLlama 34B V0.2 requires approximately 67.6 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 Opencsg CodeLlama 34B V0.2 and how large is it?

Opencsg CodeLlama 34B V0.2 is developed by opencsg, 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 Opencsg CodeLlama 34B V0.2?

Opencsg CodeLlama 34B V0.2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Opencsg CodeLlama 34B V0.2 by opencsg — VRAM 67.6GB, 16K context

Name: Opencsg CodeLlama 34B V0.2
Author: opencsg

Opencsg CodeLlama 34B V0.2 is an open-source language model by opencsg. Features: 34b LLM, VRAM: 67.6GB, Context: 16K, License: llama2, Code Generating, LLM Explorer Score: 0.11.

Base model:finetune:meta-llama... Base model:meta-llama/codellam... Code Codegen Endpoints compatible Llama Llama2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/opencsg/opencsg-CodeLlama-34b-v0.2

Opencsg CodeLlama 34B V0.2 Parameters and Internals

Model Type

text generation

Training Details

Methodology:

full-parameters fine-tuning

Training Time:

4 hours

Hardware Used:

8 Tesla A800

LLM Name	Opencsg CodeLlama 34B V0.2
Repository 🤗	https://huggingface.co/opencsg/opencsg-CodeLlama-34b-v0.2
Base Model(s)	CodeLlama 34B Hf meta-llama/CodeLlama-34b-hf
Model Size	34b
Required VRAM	67.6 GB
Updated	2026-08-02
Maintainer	opencsg
Model Type	llama
Model Files	5.0 GB: 1-of-14 4.9 GB: 2-of-14 4.8 GB: 3-of-14 4.9 GB: 4-of-14 4.8 GB: 5-of-14 4.9 GB: 6-of-14 4.8 GB: 7-of-14 4.9 GB: 8-of-14 4.8 GB: 9-of-14 4.9 GB: 10-of-14 4.8 GB: 11-of-14 4.9 GB: 12-of-14 4.8 GB: 13-of-14 4.4 GB: 14-of-14
Supported Languages	code
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	16384
Model Max Length	16384
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	[PAD]
Vocabulary Size	32001
Torch Data Type	bfloat16

Rank the Opencsg CodeLlama 34B V0.2 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 Opencsg CodeLlama 34B V0.2

Best Alternatives	Context / RAM	Downloads	Likes
...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	5	3
CodeLlama 34B Instruct Hf	16K / 1.4 GB	7	3
ReflectionCoder CL 34B	16K / 67.6 GB	7735	0
Speechless Codellama 34B V2.0	16K / 67.5 GB	96	17
CodeLlama 34B Hf	16K / 67.5 GB	27673	178
Phind CodeLlama 34B V2	16K / 67.5 GB	618	834
Phind CodeLlama 34B V1	16K / 67.5 GB	165	320
Phind CodeLlama 34B Python V1	16K / 67.5 GB	180	252

Note: green Score (e.g. "73.2") means that the model is better than opencsg/opencsg-CodeLlama-34b-v0.2.