What are the hardware requirements for Nvidia CodeLlama 7B Instruct Bf16 Sharded?

Nvidia CodeLlama 7B Instruct Bf16 Sharded requires approximately 13.5 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 Nvidia CodeLlama 7B Instruct Bf16 Sharded and how large is it?

Nvidia CodeLlama 7B Instruct Bf16 Sharded is developed by avemio-digital, a model with 7b 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 Nvidia CodeLlama 7B Instruct Bf16 Sharded?

Nvidia CodeLlama 7B Instruct Bf16 Sharded is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nvidia CodeLlama 7B Instruct Bf16 Sharded by avemio-digital — VRAM 13.5GB, 16K context

Name: Nvidia CodeLlama 7B Instruct Bf16 Sharded
Author: avemio-digital

Nvidia CodeLlama 7B Instruct Bf16 Sharded is an open-source language model by avemio-digital. Features: 7b LLM, VRAM: 13.5GB, Context: 16K, Instruction-Based, Code Generating, LLM Explorer Score: 0.09.

Codegen Custom code Endpoints compatible Instruct Llama Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/avemio-digital/Nvidia_CodeLlama-7B-Instruct-bf16-sharded

Nvidia CodeLlama 7B Instruct Bf16 Sharded Parameters and Internals

LLM Name	Nvidia CodeLlama 7B Instruct Bf16 Sharded
Repository 🤗	https://huggingface.co/avemio-digital/Nvidia_CodeLlama-7B-Instruct-bf16-sharded
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-07-25
Maintainer	avemio-digital
Model Type	llama
Instruction-Based	Yes
Model Files	10.0 GB: 1-of-2 3.5 GB: 2-of-2
Generates Code	Yes
Model Architecture	LlamaForCausalLM
Context Length	16384
Model Max Length	16384
Transformers Version	4.35.0.dev0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32016
Torch Data Type	float16

Rank the Nvidia CodeLlama 7B Instruct Bf16 Sharded 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 Nvidia CodeLlama 7B Instruct Bf16 Sharded

Model	Likes	Downloads	VRAM
...Llama 7B Instruct Bf16 Sharded	1	29	13 GB

Best Alternatives to Nvidia CodeLlama 7B Instruct Bf16 Sharded

Best Alternatives	Context / RAM	Downloads	Likes
Deepseek Coder 6.7B Instruct	16K / 13.5 GB	535311	507
CodeLlama 7B Instruct Hf	16K / 13.5 GB	58587	258
GetCode Slerp	16K / 13.6 GB	87	1
Stack Codellama 7B Inst	16K / 13.5 GB	66	0
CodeV CL 7B	16K / 13.5 GB	430	1
CodeLlama 7B Instruct Hf	16K / 13.5 GB	2313	63
Glaive Coder 7B	16K / 27 GB	85	55
...deLlama 7B Instruct Hf 8bits Q	16K / 4.2 GB	17	1
Llama 2 7B Chat Finetune5	16K / 13.8 GB	3	1
...ama 7B Instruct Hf Dequantized	16K / 13.5 GB	197	0

Note: green Score (e.g. "73.2") means that the model is better than avemio-digital/Nvidia_CodeLlama-7B-Instruct-bf16-sharded.