What are the hardware requirements for Qwen2 Sft Warmup?

Qwen2 Sft Warmup requires a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2 Sft Warmup and how large is it?

Qwen2 Sft Warmup is developed by thomasjhuang, a model with 494m 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 Qwen2 Sft Warmup?

Qwen2 Sft Warmup is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2 Sft Warmup by thomasjhuang — 128K context

Name: Qwen2 Sft Warmup
Author: thomasjhuang

Qwen2 Sft Warmup is an open-source language model by thomasjhuang. Features: 494m LLM, Context: 128K, LLM Explorer Score: 0.18.

Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/thomasjhuang/qwen2-sft-warmup

Qwen2 Sft Warmup Parameters and Internals

LLM Name	Qwen2 Sft Warmup
Repository 🤗	https://huggingface.co/thomasjhuang/qwen2-sft-warmup
Model Size	494m
Required VRAM	0 GB
Updated	2025-09-18
Maintainer	thomasjhuang
Model Type	qwen2
Model Files	2.0 GB 4.0 GB 0.0 GB 0.0 GB
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the Qwen2 Sft Warmup 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

Best Alternatives to Qwen2 Sft Warmup

Best Alternatives	Context / RAM	Downloads
Qwen2 0.5Bchp 690K	128K / 2 GB	5
Qwen2 0.5Bchp 570K	128K / 2 GB	13
Qwen2 0.5Bchp 15K	128K / 2 GB	10
Qwen2 0.5Bchp 300000	128K / 2 GB	8
Qwen2 0.5Bchp 20000	128K / 2 GB	12
Svig Tiny Step 3.7K	128K / 2 GB	16
...en2 Emotions Without Reasoning	128K / 2 GB	11
Tinyqwen	128K / 1 GB	9
Augmented D8750210c165cd25	32K / 1 GB	171
Supralabs	32K / 1 GB	60

Note: green Score (e.g. "73.2") means that the model is better than thomasjhuang/qwen2-sft-warmup.