What are the hardware requirements for Codellama CodeLlama 7B Instruct Hf Bnb 4bit Smashed?

Codellama CodeLlama 7B Instruct Hf Bnb 4bit Smashed requires approximately 4.2 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.

Where can I download or evaluate Codellama CodeLlama 7B Instruct Hf Bnb 4bit Smashed?

Codellama CodeLlama 7B Instruct Hf Bnb 4bit Smashed is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Codellama CodeLlama 7B Instruct Hf Bnb 4bit Smashed by PrunaAI — VRAM 4.2GB, 16K context

Name: Codellama CodeLlama 7B Instruct Hf Bnb 4bit Smashed
Author: PrunaAI

Codellama CodeLlama 7B Instruct Hf Bnb 4bit Smashed is an open-source language model by PrunaAI. Features: 7b LLM, VRAM: 4.2GB, Context: 16K, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.12.

4-bit 4bit Base model:codellama/codellama... Base model:quantized:codellama... Bitsandbytes Codegen Instruct Llama Pruna-ai Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/PrunaAI/codellama-CodeLlama-7b-Instruct-hf-bnb-4bit-smashed

Codellama CodeLlama 7B Instruct Hf Bnb 4bit Smashed Parameters and Internals

Model Type

compressed

Additional Notes

The model is compressed with llm-int8, using WikiText as calibration data if needed.

Input Output

Performance Tips:

Efficiency results may vary on different hardware configurations and should be evaluated within intended use environments.

LLM Name	Codellama CodeLlama 7B Instruct Hf Bnb 4bit Smashed
Repository 🤗	https://huggingface.co/PrunaAI/codellama-CodeLlama-7b-Instruct-hf-bnb-4bit-smashed
Base Model(s)	CodeLlama 7B Instruct Hf codellama/CodeLlama-7b-Instruct-hf
Model Size	7b
Required VRAM	4.2 GB
Updated	2025-09-23
Maintainer	PrunaAI
Model Type	llama
Instruction-Based	Yes
Model Files	4.2 GB
Quantization Type	4bit
Generates Code	Yes
Model Architecture	LlamaForCausalLM
Context Length	16384
Model Max Length	16384
Transformers Version	4.40.0
Tokenizer Class	CodeLlamaTokenizer
Vocabulary Size	32016
Torch Data Type	float16

Rank the Codellama CodeLlama 7B Instruct Hf Bnb 4bit Smashed 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 CodeLlama 7B Instruct Hf Bnb 4bit Smashed

Best Alternatives	Context / RAM	Downloads	Likes
...ruct Solidity Bnb 4bit Smashed	16K / 4.2 GB	6	0
CodelLama7B Inst DPO 7K Mlx	16K / 4.2 GB	49	4
...eLlama 7B Instruct Hf 4bit MLX	16K / 4.2 GB	84	3
...6.7B Instruct 8.0bpw H8 EXL2 2	16K / 6.8 GB	7	2
...6.7B Instruct 3.0bpw H6 EXL2 2	16K / 2.8 GB	8	1
... 7B Instruct Nf4 Fp16 Upscaled	16K / 13.5 GB	9	0
CodeLlama 7B Instruct Fp16	16K / 13.5 GB	24	7
...Llama 7B Instruct Bf16 Sharded	16K / 13.5 GB	29	1
...B Instruct V1.5 6.0bpw H6 EXL2	4K / 5.7 GB	8	2
...B Instruct V1.5 8.0bpw H8 EXL2	4K / 7.3 GB	8	1

Note: green Score (e.g. "73.2") means that the model is better than PrunaAI/codellama-CodeLlama-7b-Instruct-hf-bnb-4bit-smashed.