What are the hardware requirements for Qwen3 4B Data 1M V4 Sft Lr 2e 5 Sq 3000 Bs 256?

Qwen3 4B Data 1M V4 Sft Lr 2e 5 Sq 3000 Bs 256 requires approximately 8.1 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 4B Data 1M V4 Sft Lr 2e 5 Sq 3000 Bs 256 and how large is it?

Qwen3 4B Data 1M V4 Sft Lr 2e 5 Sq 3000 Bs 256 is developed by idaytal, a model with 4b 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 Qwen3 4B Data 1M V4 Sft Lr 2e 5 Sq 3000 Bs 256?

Qwen3 4B Data 1M V4 Sft Lr 2e 5 Sq 3000 Bs 256 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B Data 1M V4 Sft Lr 2e 5 Sq 3000 Bs 256 by idaytal — VRAM 8.1GB, 40K context

Name: Qwen3 4B Data 1M V4 Sft Lr 2e 5 Sq 3000 Bs 256
Author: idaytal

Qwen3 4B Data 1M V4 Sft Lr 2e 5 Sq 3000 Bs 256 is an open-source language model by idaytal. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, LLM Explorer Score: 0.21.

Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/idaytal/qwen3_4b_data_1m_v4_sft_lr_2e-5_sq_3000_bs_256

Qwen3 4b Data 1m V4 Sft Lr 2e 5 Sq 3000 Bs 256 Benchmarks

LLME Score: 0.20855

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Qwen3 4B Data 1M V4 Sft Lr 2e 5 Sq 3000 Bs 256 (idaytal/qwen3_4b_data_1m_v4_sft_lr_2e-5_sq_3000_bs_256)

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Qwen3 4B Data 1M V4 Sft Lr 2e 5 Sq 3000 Bs 256 Parameters and Internals

LLM Name	Qwen3 4b Data 1m V4 Sft Lr 2e 5 Sq 3000 Bs 256
Repository 🤗	https://huggingface.co/idaytal/qwen3_4b_data_1m_v4_sft_lr_2e-5_sq_3000_bs_256
Model Size	4b
Required VRAM	8.1 GB
Updated	2025-09-23
Maintainer	idaytal
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2 0.0 GB
Model Architecture	Qwen3ForCausalLM
Context Length	40960
Model Max Length	40960
Transformers Version	4.53.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Best Alternatives to Qwen3 4B Data 1M V4 Sft Lr 2e 5 Sq 3000 Bs 256

Best Alternatives	Context / RAM	Downloads	Likes
Fable Traces	256K / 8.1 GB	5292	207
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Qwen3 4B Instruct 2507	256K / 8.1 GB	4522780	898
GRPO 4 70	256K / 8.1 GB	5	0
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Thinking 2507	256K / 8.1 GB	529167	601
Lightning 4B	256K / 8.1 GB	13	6
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	994800	78
Nexa AI 4B Instruct	256K / 8 GB	436	2
Tac 1	256K / 8.1 GB	635	0

Note: green Score (e.g. "73.2") means that the model is better than idaytal/qwen3_4b_data_1m_v4_sft_lr_2e-5_sq_3000_bs_256.

Rank the Qwen3 4B Data 1M V4 Sft Lr 2e 5 Sq 3000 Bs 256 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

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Release v20260328a

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Qwen3 4B Data 1M V4 Sft Lr 2e 5 Sq 3000 Bs 256 by idaytal

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Qwen3 4b Data 1m V4 Sft Lr 2e 5 Sq 3000 Bs 256 Benchmarks

Qwen3 4B Data 1M V4 Sft Lr 2e 5 Sq 3000 Bs 256 Parameters and Internals

Best Alternatives to Qwen3 4B Data 1M V4 Sft Lr 2e 5 Sq 3000 Bs 256

Rank the Qwen3 4B Data 1M V4 Sft Lr 2e 5 Sq 3000 Bs 256 Capabilities

What open-source LLMs or SLMs are you in search of? 55205 in total.