What are the hardware requirements for Qwen3 4B Thinking Full Pretrain Mix Low Tweet 1M En GPT?

Qwen3 4B Thinking Full Pretrain Mix Low Tweet 1M En GPT requires approximately 8.1 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Qwen3 4B Thinking Full Pretrain Mix Low Tweet 1M En GPT?

Qwen3 4B Thinking Full Pretrain Mix Low Tweet 1M En GPT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B Thinking Full Pretrain Mix Low Tweet 1M En GPT by AmberYifan — VRAM 8.1GB, 256K context

Name: Qwen3 4B Thinking Full Pretrain Mix Low Tweet 1M En GPT
Author: AmberYifan

Qwen3 4B Thinking Full Pretrain Mix Low Tweet 1M En GPT is an open-source language model by AmberYifan. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.2.

Autotrain compatible Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-think... Conversational Endpoints compatible Full Generated from trainer Llama-factory Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/AmberYifan/qwen3-4b-thinking-full-pretrain-mix-low-tweet-1m-en-gpt

Qwen3 4B Thinking Full Pretrain Mix Low Tweet 1M En GPT Parameters and Internals

LLM Name	Qwen3 4B Thinking Full Pretrain Mix Low Tweet 1M En GPT
Repository 🤗	https://huggingface.co/AmberYifan/qwen3-4b-thinking-full-pretrain-mix-low-tweet-1m-en-gpt
Base Model(s)	Qwen3 4B Thinking 2507 Qwen/Qwen3-4B-Thinking-2507
Model Size	4b
Required VRAM	8.1 GB
Updated	2025-11-08
Maintainer	AmberYifan
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2 0.0 GB
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.52.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 4B Thinking Full Pretrain Mix Low Tweet 1M En GPT 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 Qwen3 4B Thinking Full Pretrain Mix Low Tweet 1M En GPT

Best Alternatives	Context / RAM	Downloads	Likes
Fable Traces	256K / 8.1 GB	5530	209
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
GRPO 4 70	256K / 8.1 GB	5	0
Lightning 4B	256K / 8.1 GB	13	6
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
Typhoon2.5 Qwen3 4B	256K / 8 GB	489877	6
Neuron 4B Instruct	256K / 8.1 GB	313	1

Note: green Score (e.g. "73.2") means that the model is better than AmberYifan/qwen3-4b-thinking-full-pretrain-mix-low-tweet-1m-en-gpt.