What are the hardware requirements for Andgit 0.6B SFT?

Andgit 0.6B SFT requires approximately 1.2 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 Andgit 0.6B SFT and how large is it?

Andgit 0.6B SFT is developed by Ma7ee7, a model with 0.6b 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 Andgit 0.6B SFT?

Andgit 0.6B SFT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Andgit 0.6B SFT by Ma7ee7 — VRAM 1.2GB, 32K context

Name: Andgit 0.6B SFT
Author: Ma7ee7

Andgit 0.6B SFT is an open-source language model by Ma7ee7. Features: 0.6b LLM, VRAM: 1.2GB, Context: 32K.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b-bas... Conversational Dataset:ahmad21omar/polyglot-t... Dataset:ma7ee7/claude-reasonin... De En Endpoints compatible Es Fr It Ja Multilingual Qwen3 Reasoning Region:us Safetensors Sft

Model Card on HF 🤗: https://huggingface.co/Ma7ee7/Andgit-0.6B-SFT

Andgit 0.6B SFT Parameters and Internals

LLM Name	Andgit 0.6B SFT
Repository 🤗	https://huggingface.co/Ma7ee7/Andgit-0.6B-SFT
Base Model(s)	Qwen/Qwen3-0.6B-Base Qwen/Qwen3-0.6B-Base
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-11-12
Maintainer	Ma7ee7
Model Type	qwen3
Model Files	1.2 GB
Supported Languages	en de es fr it ja
Model Architecture	Qwen3ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.57.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Andgit 0.6B SFT 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 Andgit 0.6B SFT

Best Alternatives	Context / RAM	Downloads	Likes
S1 Mini	40K / 1.5 GB	1136	180
Qwen3 Reranker 0.6B	40K / 1.2 GB	2508313	377
RGOO Qwen3 0.6B	40K / GB	281	2
Qwen3 0.6B Emoji Gif	40K / 1.2 GB	380	1
RGOO Qwen3 0.6B	40K / GB	334	1
Creo Classify 0.6B	40K / 1.2 GB	327	1
Qwen3 0.6B	40K / 1.5 GB	1364597	1
Qwen3 0.6B RSI Iter1	40K / 1.2 GB	289	2
Qwen3 0.6B Malevolent	40K / 1.2 GB	170	1
Ofcen CHRU V1.1	40K / 1.2 GB	214	1

Note: green Score (e.g. "73.2") means that the model is better than Ma7ee7/Andgit-0.6B-SFT.