What are the hardware requirements for BokantLM0.1 0.5B?

BokantLM0.1 0.5B requires approximately 2 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 BokantLM0.1 0.5B and how large is it?

BokantLM0.1 0.5B is developed by llaa33219, 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 BokantLM0.1 0.5B?

BokantLM0.1 0.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

BokantLM0.1 0.5B by llaa33219 — VRAM 2GB, 32K context

Name: BokantLM0.1 0.5B
Author: llaa33219

BokantLM0.1 0.5B is an open-source language model by llaa33219. Features: 0.5b LLM, VRAM: 2GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.19.

Autotrain Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b Conversational Dataset:greengerong/leetcode Endpoints compatible Qwen2 Region:us Safetensors Tensorboard

Model Card on HF 🤗: https://huggingface.co/llaa33219/BokantLM0.1-0.5B

BokantLM0.1 0.5B Parameters and Internals

LLM Name	BokantLM0.1 0.5B
Repository 🤗	https://huggingface.co/llaa33219/BokantLM0.1-0.5B
Base Model(s)	Qwen/Qwen2.5-0.5B Qwen/Qwen2.5-0.5B
Model Size	0.5b
Required VRAM	2 GB
Updated	2026-08-07
Maintainer	llaa33219
Model Type	qwen2
Model Files	2.0 GB 0.0 GB
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151665
Torch Data Type	float32
Errors	replace

Rank the BokantLM0.1 0.5B 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 BokantLM0.1 0.5B

Best Alternatives	Context / RAM	Downloads	Likes
Reader Lm 0.5B	250K / 1 GB	188	150
Qwen2 0.5B	128K / 1 GB	1216780	169
Qwen2 0.5B Finetune Exp 1	128K / 1 GB	15	0
...0.5B FT EnhancedMUSREnsembleV3	128K / 1 GB	32	1
....5B FT V4 MUSR ENSEMBLE Mathis	128K / 2 GB	30	1
...0.5B FT MUSR ENSEMBLE V2Mathis	128K / 1 GB	25	0
...PRYMMAL 0.5B FT V4 MUSR Mathis	128K / 1 GB	62	1
Qwen2 0.5B Stf Imdb	128K / 1 GB	7	0
ECE PRYMMAL 0.5B FT V3 MUSR	128K / 2 GB	17	0
ECE PRYMMAL 0.5B FT V4 MUSR	128K / 2 GB	10	0

Note: green Score (e.g. "73.2") means that the model is better than llaa33219/BokantLM0.1-0.5B.