What are the hardware requirements for Qwen Mcqa Custom Sft 50K Sft Focus?

Qwen Mcqa Custom Sft 50K Sft Focus requires approximately 2.4 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 Mcqa Custom Sft 50K Sft Focus and how large is it?

Qwen Mcqa Custom Sft 50K Sft Focus is developed by coralieb7, a model with 0.6b 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 Mcqa Custom Sft 50K Sft Focus?

Qwen Mcqa Custom Sft 50K Sft Focus is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen Mcqa Custom Sft 50K Sft Focus by coralieb7 — VRAM 2.4GB, 32K context

Name: Qwen Mcqa Custom Sft 50K Sft Focus
Author: coralieb7

Qwen Mcqa Custom Sft 50K Sft Focus is an open-source language model by coralieb7. Features: 0.6b LLM, VRAM: 2.4GB, Context: 32K, LLM Explorer Score: 0.18.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b-bas... Conversational Endpoints compatible Generated from trainer Qwen3 Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/coralieb7/qwen_mcqa_custom_sft_50k_sft_focus

Qwen Mcqa Custom Sft 50K Sft Focus Parameters and Internals

LLM Name	Qwen Mcqa Custom Sft 50k Sft Focus
Repository 🤗	https://huggingface.co/coralieb7/qwen_mcqa_custom_sft_50k_sft_focus
Model Name	qwen_mcqa_custom_sft_50k_sft_focus
Base Model(s)	Qwen/Qwen3-0.6B-Base Qwen/Qwen3-0.6B-Base
Model Size	0.6b
Required VRAM	2.4 GB
Updated	2026-05-21
Maintainer	coralieb7
Model Type	qwen3
Model Files	2.4 GB 0.0 GB
Model Architecture	Qwen3ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the Qwen Mcqa Custom Sft 50K Sft Focus 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 Mcqa Custom Sft 50K Sft Focus

Best Alternatives	Context / RAM	Downloads	Likes
S1 Mini	40K / 1.5 GB	1136	180
Tenorio 0.6B	40K / 1.2 GB	251	2
Qwen3 Reranker 0.6B	40K / 1.2 GB	2508313	377
Meridian Ac Nano	40K / 1.2 GB	418	1
Qwen3 0.6B	40K / 1.5 GB	88	1
Quipu 0.6B	40K / 1.2 GB	351	4
Qwen3 0.6B FP8	40K / 1.1 GB	1581403	62
Privasis Cleaner 0.6B	40K / 1.2 GB	1171	18
Clary 0.6 0.6B	40K / 1.2 GB	137	1
Qwen3 Finetuned	40K / 1.2 GB	98	1

Note: green Score (e.g. "73.2") means that the model is better than coralieb7/qwen_mcqa_custom_sft_50k_sft_focus.