What are the hardware requirements for Qwq Finetune Result?

Qwq Finetune Result requires approximately 0.3 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwq Finetune Result and how large is it?

Qwq Finetune Result is developed by Pedro13543, a model with 0.15b 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 Qwq Finetune Result?

Qwq Finetune Result is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwq Finetune Result by Pedro13543 — VRAM 0.3GB, 2K context

Name: Qwq Finetune Result
Author: Pedro13543

Qwq Finetune Result is an open-source language model by Pedro13543. Features: 0.15b LLM, VRAM: 0.3GB, Context: 2K, License: mit, Fine-Tuned, LLM Explorer Score: 0.16.

Base model:finetune:nisten/big... Base model:nisten/biggie-smoll... Endpoints compatible Finetuned Generated from trainer Llama Region:us Safetensors Tensorboard

Model Card on HF 🤗: https://huggingface.co/Pedro13543/qwq_finetune_result

Qwq Finetune Result Parameters and Internals

LLM Name	Qwq Finetune Result
Repository 🤗	https://huggingface.co/Pedro13543/qwq_finetune_result
Base Model(s)	nisten/Biggie-SmoLlm-0.15B-Base nisten/Biggie-SmoLlm-0.15B-Base
Model Size	0.15b
Required VRAM	0.3 GB
Updated	2026-07-26
Maintainer	Pedro13543
Model Type	llama
Model Files	0.3 GB 0.0 GB
Model Architecture	LlamaForCausalLM
License	mit
Context Length	2048
Model Max Length	2048
Transformers Version	4.43.3
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	49152
Torch Data Type	bfloat16

Rank the Qwq Finetune Result 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 Qwq Finetune Result

Best Alternatives	Context / RAM	Downloads	Likes
Fast R1 Small Experiment	2K / 0.3 GB	6	0
Biggie SmoLlm 0.15B Base	2K / 0.2 GB	2855	241

Note: green Score (e.g. "73.2") means that the model is better than Pedro13543/qwq_finetune_result.