What are the hardware requirements for Pegasus 0.5 7B?

Pegasus 0.5 7B requires approximately 15.3 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Pegasus 0.5 7B and how large is it?

Pegasus 0.5 7B is developed by uncc-sh, 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 Pegasus 0.5 7B?

Pegasus 0.5 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Pegasus 0.5 7B by uncc-sh — VRAM 15.3GB, 32K context

Name: Pegasus 0.5 7B
Author: uncc-sh

Pegasus 0.5 7B is an open-source language model by uncc-sh. Features: 7b LLM, VRAM: 15.3GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.28.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-... Codegen Conversational Decompilation Endpoints compatible Instruct Matching-decompilation Pegasus Qwen2 Region:us Reverse-engineering Safetensors Sharded Tensorflow Uncc X86

Model Card on HF 🤗: https://huggingface.co/uncc-sh/pegasus-0.5-7b

Pegasus 0.5 7B Parameters and Internals

LLM Name	Pegasus 0.5 7B
Repository 🤗	https://huggingface.co/uncc-sh/pegasus-0.5-7b
Base Model(s)	Qwen/Qwen2.5-Coder-7B-Instruct Qwen/Qwen2.5-Coder-7B-Instruct
Model Size	7b
Required VRAM	15.3 GB
Updated	2026-10-15
Maintainer	uncc-sh
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.0 GB: 1-of-4 3.9 GB: 2-of-4 3.9 GB: 3-of-4 3.5 GB: 4-of-4
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.19.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Errors	replace

Rank the Pegasus 0.5 7B 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 Pegasus 0.5 7B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Rebase	986K / 15.2 GB	73	2
Qwen2.5 7B Rebase	986K / 15.2 GB	24	2
StockQwen 2.5 7B	128K / 15.2 GB	69	6
DareQwen 2.5 7B	128K / 15.2 GB	11	1
Tessa T1 7B	117K / 15.2 GB	14	10
UIGEN T1.5 7B	117K / 15.2 GB	12	6
Qwen2.5 Coder 7B Instruct	32K / 15.2 GB	2019400	765
AERA Coder Hybrid	32K / 15.4 GB	207	1
Reggie V1 7B	32K / 15.2 GB	57	0
...emanticwiki Coder 7B V2 Merged	32K / 15.2 GB	218	0

Note: green Score (e.g. "73.2") means that the model is better than uncc-sh/pegasus-0.5-7b.