What are the hardware requirements for St4 Annealing Sft?

St4 Annealing Sft requires approximately 1.5 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed St4 Annealing Sft and how large is it?

St4 Annealing Sft is developed by SaketR1, a model with 0.8b 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 St4 Annealing Sft?

St4 Annealing Sft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

St4 Annealing Sft by SaketR1 — VRAM 1.5GB, 256K context

Name: St4 Annealing Sft
Author: SaketR1

St4 Annealing Sft is an open-source language model by SaketR1. Features: 0.8b LLM, VRAM: 1.5GB, Context: 256K, LLM Explorer Score: 0.25.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-0.8b Conversational Endpoints compatible Generated from trainer Qwen3 5 text Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/SaketR1/st4-annealing-sft

St4 Annealing Sft Parameters and Internals

LLM Name	St4 Annealing Sft
Repository 🤗	https://huggingface.co/SaketR1/st4-annealing-sft
Model Name	st4-annealing-sft
Base Model(s)	Qwen/Qwen3.5-0.8B Qwen/Qwen3.5-0.8B
Model Size	0.8b
Required VRAM	1.5 GB
Updated	2026-05-03
Maintainer	SaketR1
Model Type	qwen3_5_text
Model Files	1.5 GB 0.0 GB
Model Architecture	Qwen3_5ForCausalLM
Context Length	262144
Model Max Length	262144
Transformers Version	5.6.0.dev0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the St4 Annealing 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 St4 Annealing Sft

Best Alternatives	Context / RAM	Downloads	Likes
Qwen 3.5 0.8B Hedgehog	256K / 1.5 GB	438	0
AlphaRoute 0.8B V1.0	256K / 1.5 GB	209	1
Quipu 0.8B	256K / 1.5 GB	118	1
St4 Generic Sft	256K / 1.5 GB	386	0
St5 Generic Sft	256K / 1.5 GB	304	0
St3 Response Sft	256K / 1.5 GB	109	0
Qwen3.5 0.8B Text Only	256K / 1.5 GB	224	8
Qwenite3.5 0.8B	256K / 1.5 GB	36	0
...wen3.5 0.8B TW CivicAligned V1	256K / 1.5 GB	10	1
...aling Sft Fixed Tokenization 2	256K / 1.5 GB	38	0

Note: green Score (e.g. "73.2") means that the model is better than SaketR1/st4-annealing-sft.