What are the hardware requirements for Kitty Bash Llm?

Kitty Bash Llm requires approximately 0.4 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 Kitty Bash Llm and how large is it?

Kitty Bash Llm is developed by sahellx, 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 Kitty Bash Llm?

Kitty Bash Llm is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Kitty Bash Llm by sahellx — VRAM 0.4GB, 32K context

Name: Kitty Bash Llm
Author: sahellx

Kitty Bash Llm is an open-source language model by sahellx. Features: 0.5b LLM, VRAM: 0.4GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.32.

Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-coder-... Bash Cli Code-generation Codegen Conversational En Endpoints compatible Gguf Instruct Nl2bash Q4 Quantized Qwen2 Region:us Safetensors Shell Small-language-model Terminal

Model Card on HF 🤗: https://huggingface.co/sahellx/kitty-bash-llm

Kitty Bash Llm Parameters and Internals

LLM Name	Kitty Bash Llm
Repository 🤗	https://huggingface.co/sahellx/kitty-bash-llm
Base Model(s)	Qwen/Qwen2.5-Coder-0.5B-Instruct Qwen/Qwen2.5-Coder-0.5B-Instruct
Model Size	0.5b
Required VRAM	0.4 GB
Updated	2026-09-02
Maintainer	sahellx
Model Type	qwen2
Instruction-Based	Yes
Model Files	1.0 GB 0.4 GB 0.4 GB 0.5 GB 1.0 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	q4\|gguf\|q4_k\|q5_k
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Kitty Bash Llm 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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