What are the hardware requirements for CodeLlama 7B Instruct Hf Dequantized?

CodeLlama 7B Instruct Hf Dequantized 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 CodeLlama 7B Instruct Hf Dequantized and how large is it?

CodeLlama 7B Instruct Hf Dequantized is developed by predibase, 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 CodeLlama 7B Instruct Hf Dequantized?

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

CodeLlama 7B Instruct Hf Dequantized by predibase — VRAM 13.5GB, 16K context

Name: CodeLlama 7B Instruct Hf Dequantized
Author: predibase

CodeLlama 7B Instruct Hf Dequantized is an open-source language model by predibase. Features: 7b LLM, VRAM: 13.5GB, Context: 16K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.12.

Autotrain compatible Base model:codellama/codellama... Base model:finetune:codellama/... Codegen Conversational En Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/predibase/CodeLlama-7b-Instruct-hf-dequantized

CodeLlama 7B Instruct Hf Dequantized Parameters and Internals

LLM Name	CodeLlama 7B Instruct Hf Dequantized
Repository 🤗	https://huggingface.co/predibase/CodeLlama-7b-Instruct-hf-dequantized
Base Model(s)	CodeLlama 7B Instruct Hf codellama/CodeLlama-7b-Instruct-hf
Model Size	7b
Required VRAM	13.5 GB
Updated	2024-08-10
Maintainer	predibase
Model Type	llama
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 3.6 GB: 3-of-3
Supported Languages	en
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	16384
Model Max Length	16384
Transformers Version	4.39.3
Tokenizer Class	CodeLlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32016
Torch Data Type	bfloat16

Rank the CodeLlama 7B Instruct Hf Dequantized capabilities

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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 7B Instruct Hf Dequantized

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
CodeLLama SFT FILTERED	16K / 13.5 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than predibase/CodeLlama-7b-Instruct-hf-dequantized.