What are the hardware requirements for Codebear 7B 4bit?

Codebear 7B 4bit requires approximately 3.9 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 Codebear 7B 4bit and how large is it?

Codebear 7B 4bit is developed by guaguabear, 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 Codebear 7B 4bit?

Codebear 7B 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Codebear 7B 4bit by guaguabear — VRAM 3.9GB, 16K context

Name: Codebear 7B 4bit
Author: guaguabear

Codebear 7B 4bit is an open-source language model by guaguabear. Features: 7b LLM, VRAM: 3.9GB, Context: 16K, Quantized, Code Generating, LLM Explorer Score: 0.11.

4-bit 4bit Codegen Endpoints compatible Gptq Llama Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/guaguabear/codebear-7b-4bit

Codebear 7B 4bit Parameters and Internals

LLM Name	Codebear 7B 4bit
Repository 🤗	https://huggingface.co/guaguabear/codebear-7b-4bit
Model Size	7b
Required VRAM	3.9 GB
Updated	2026-07-06
Maintainer	guaguabear
Model Type	llama
Model Files	3.9 GB
GPTQ Quantization	Yes
Quantization Type	gptq\|4bit
Generates Code	Yes
Model Architecture	LlamaForCausalLM
Context Length	16384
Model Max Length	16384
Transformers Version	4.34.0
Vocabulary Size	32000
Torch Data Type	float16

Rank the Codebear 7B 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 Codebear 7B 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...a 7B Instruct GPTQ Calib Ja 1K	16K / 3.9 GB	6	0
CodeLlama 7B Instruct GPTQ	16K / 3.9 GB	499	46
CodeLlama 7B Python GPTQ	16K / 3.9 GB	46	24
CodeLlama 7B GPTQ	16K / 3.9 GB	63	14
Codegen Int4 GPTQ Python Code	4K / 3.9 GB	7	0
Llama 2 Coder 7B GPTQ	4K / 3.9 GB	33	10
CodeLlama 7B Java 16bit	16K / 13.5 GB	10	0
Codellama 7B Bnb 4bit	16K / 3.9 GB	3695	9
...ruct Solidity Bnb 4bit Smashed	16K / 4.2 GB	6	0
...lama 7B Tofuagent Contpretrain	16K / 13.5 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than guaguabear/codebear-7b-4bit.