What are the hardware requirements for Sawyer 0.5B?

Sawyer 0.5B requires approximately 1 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 Sawyer 0.5B and how large is it?

Sawyer 0.5B is developed by itsrishub, a model with 0.5b 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 Sawyer 0.5B?

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

Sawyer 0.5B by itsrishub — VRAM 1GB, 32K context

Name: Sawyer 0.5B
Author: itsrishub

Sawyer 0.5B is an open-source language model by itsrishub. Features: 0.5b LLM, VRAM: 1GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.34.

Base model:finetune:unsloth/qw... Base model:unsloth/qwen2.5-0.5... Conversational Dataset:itsrishub/synthetic-lo... Endpoints compatible Instruct Qwen2 Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/itsrishub/sawyer-0.5b

Sawyer 0.5B Parameters and Internals

LLM Name	Sawyer 0.5B
Repository 🤗	https://huggingface.co/itsrishub/sawyer-0.5b
Model Name	log-parser-unsloth-v2
Base Model(s)	unsloth/Qwen2.5-0.5B-Instruct unsloth/Qwen2.5-0.5B-Instruct
Model Size	0.5b
Required VRAM	1 GB
Updated	2026-09-25
Maintainer	itsrishub
Model Type	qwen2
Instruction-Based	Yes
Model Files	1.0 GB 0.0 GB
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.55.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Sawyer 0.5B 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

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Best Alternatives	Context / RAM	Downloads	Likes
Qwen2 0.5B Abyme Merge3	128K / 1.3 GB	34	1
Qwen2 0.5B Abyme Merge2	128K / 0.3 GB	28	0
Qwen2.5 0.5B Instruct	64K / 1 GB	16	0
Qwen2.5 0.5B Grounded Sft	32K / 1 GB	728	1
Qwen2.5 0.5B Grounded Rloo	32K / 1 GB	705	1
Qwen2.5 0.5B Instruct	32K / 1 GB	6324790	572
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Qwen2.5 0.5B Instruct ONNX	32K / GB	340	2
ZINI 1 CHAT STORIES	32K / 1 GB	257	0
Kaveri Hgrpo 0.5B	32K / 1 GB	756	0