What are the hardware requirements for My Fine Tuned Qwen?

My Fine Tuned Qwen requires approximately 3.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed My Fine Tuned Qwen and how large is it?

My Fine Tuned Qwen is developed by ysyd6375, a model with 1.5b 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 My Fine Tuned Qwen?

My Fine Tuned Qwen is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

My Fine Tuned Qwen by ysyd6375 — VRAM 3.1GB, 128K context

Name: My Fine Tuned Qwen
Author: ysyd6375

My Fine Tuned Qwen is an open-source language model by ysyd6375. Features: 1.5b LLM, VRAM: 3.1GB, Context: 128K, LLM Explorer Score: 0.32.

Arxiv:1910.09700 Conversational Endpoints compatible Qwen2 Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/ysyd6375/my-fine-tuned-qwen

My Fine Tuned Qwen Parameters and Internals

LLM Name	My Fine Tuned Qwen
Repository 🤗	https://huggingface.co/ysyd6375/my-fine-tuned-qwen
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-09-27
Maintainer	ysyd6375
Model Type	qwen2
Model Files	3.1 GB
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	5.16.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the My Fine Tuned Qwen 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 My Fine Tuned Qwen

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	25	0
ReaderLM V2	500K / 3.1 GB	35356	804
Reader Lm 1.5B	250K / 3.1 GB	385	608
DeepSeek R1 Distill Qwen 1.5B	128K / 3.5 GB	600051	1545
When2Think ThinkOnly 1.5B	128K / 7.1 GB	366	7
Edu Slm	128K / 3.5 GB	358	1
Ko R1 1.5B Preview	128K / 7.1 GB	8	9
Pulsar Coder V1	128K / 3.1 GB	291	1
DeepSeek R1 Distill Qwen 1.5B	128K / 3.5 GB	209	1
MLR Executor Qwen 1.5B	128K / 3.5 GB	503	0

Note: green Score (e.g. "73.2") means that the model is better than ysyd6375/my-fine-tuned-qwen.