What are the hardware requirements for Twscrape Prepared Trl Sft Qwen 3B Sft 1epochs?

Twscrape Prepared Trl Sft Qwen 3B Sft 1epochs requires approximately 6.2 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 Twscrape Prepared Trl Sft Qwen 3B Sft 1epochs and how large is it?

Twscrape Prepared Trl Sft Qwen 3B Sft 1epochs is developed by AlekseyKorshuk, a model with 3b 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 Twscrape Prepared Trl Sft Qwen 3B Sft 1epochs?

Twscrape Prepared Trl Sft Qwen 3B Sft 1epochs is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Twscrape Prepared Trl Sft Qwen 3B Sft 1epochs by AlekseyKorshuk — VRAM 6.2GB, 32K context

Name: Twscrape Prepared Trl Sft Qwen 3B Sft 1epochs
Author: AlekseyKorshuk

Twscrape Prepared Trl Sft Qwen 3B Sft 1epochs is an open-source language model by AlekseyKorshuk. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.17.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-3b-ins... Conversational Dataset:alekseykorshuk/twscrap... Endpoints compatible Generated from trainer Instruct Qwen2 Region:us Safetensors Sft Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/AlekseyKorshuk/twscrape-prepared-trl-sft-qwen-3b-sft-1epochs

Twscrape Prepared Trl Sft Qwen 3B Sft 1epochs Parameters and Internals

LLM Name	Twscrape Prepared Trl Sft Qwen 3B Sft 1epochs
Repository 🤗	https://huggingface.co/AlekseyKorshuk/twscrape-prepared-trl-sft-qwen-3b-sft-1epochs
Model Name	twscrape-prepared-trl-sft-qwen-3b-sft-1epochs
Base Model(s)	Qwen/Qwen2.5-3B-Instruct Qwen/Qwen2.5-3B-Instruct
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-08-25
Maintainer	AlekseyKorshuk
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.2 GB: 2-of-2 0.0 GB
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Twscrape Prepared Trl Sft Qwen 3B Sft 1epochs 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 Twscrape Prepared Trl Sft Qwen 3B Sft 1epochs

Best Alternatives	Context / RAM	Downloads	Likes
VibeThinker 3B	128K / 6.2 GB	52745	806
VibeThinker 3B	128K / 6.2 GB	361	0
Saba2 3B	128K / 6.2 GB	6	0
Tessa T1 3B	117K / 6.2 GB	10	5
UIGEN T1.5 3B	117K / 6.2 GB	7	1
Qwen2.5 3B Instruct	32K / 6.2 GB	5889234	545
...er 3B Instruct Spider Sft Grpo	32K / 6.2 GB	756	1
...2.5 3B Instruct SFT In WebShop	32K / 6.8 GB	347	1
SmallThinker 3B Preview	32K / 6.8 GB	30529	412
Qwen2.5 3B Haizi	32K / 6.2 GB	74	0

Note: green Score (e.g. "73.2") means that the model is better than AlekseyKorshuk/twscrape-prepared-trl-sft-qwen-3b-sft-1epochs.