What are the hardware requirements for Qwen Fine Tuned V0?

Qwen Fine Tuned V0 requires approximately 3.7 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 Qwen Fine Tuned V0 and how large is it?

Qwen Fine Tuned V0 is developed by nanaelas, a model with 1.8b 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 Qwen Fine Tuned V0?

Qwen Fine Tuned V0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen Fine Tuned V0 by nanaelas — VRAM 3.7GB, 32K context

Name: Qwen Fine Tuned V0
Author: nanaelas

Qwen Fine Tuned V0 is an open-source language model by nanaelas. Features: 1.8b LLM, VRAM: 3.7GB, Context: 32K, LLM Explorer Score: 0.19.

Arxiv:1910.09700 Conversational Endpoints compatible Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/nanaelas/qwen-fine_tuned-v0

Qwen Fine Tuned V0 Parameters and Internals

LLM Name	Qwen Fine Tuned V0
Repository 🤗	https://huggingface.co/nanaelas/qwen-fine_tuned-v0
Model Size	1.8b
Required VRAM	3.7 GB
Updated	2026-08-05
Maintainer	nanaelas
Model Type	qwen2
Model Files	3.7 GB
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.53.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Qwen Fine Tuned V0 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 Qwen Fine Tuned V0

Best Alternatives	Context / RAM	Downloads	Likes
Palmyra Mini Thinking B	128K / 3.5 GB	35	27
Dhanishtha	128K / 3.5 GB	82	2
LaConfiance PRYMMAL ECE TW3	128K / 7.1 GB	6	0
Reyna Mini 1.8B V0.1	32K / 3.7 GB	66	2
Qwen1.5 1.8B Chat	32K / 3.7 GB	66688	75
Qwen1.5 1.8B	32K / 3.7 GB	67455	59
Qwen1.5 1.8B Chat Heretic	32K / 3.7 GB	8	0
Qwen1.5 1.8B Chat Heretic	32K / 3.7 GB	6	0
Colegium Ai 1.8B	32K / 3.7 GB	6	0
Qwen1.5 1.8B Seed Sft	32K / 3.7 GB	12	0

Note: green Score (e.g. "73.2") means that the model is better than nanaelas/qwen-fine_tuned-v0.