What are the hardware requirements for Qwen3 4B Ft Bf16?

Qwen3 4B Ft Bf16 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 Ft Bf16 and how large is it?

Qwen3 4B Ft Bf16 is developed by prithivMLmods, 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 Ft Bf16?

Qwen3 4B Ft Bf16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B Ft Bf16 by prithivMLmods — VRAM 8.1GB, 40K context

Name: Qwen3 4B Ft Bf16
Author: prithivMLmods

Qwen3 4B Ft Bf16 is an open-source language model by prithivMLmods. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.18.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b Conversational En Endpoints compatible Moderately abliterated variant Moe Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Qwen3-4B-ft-bf16

Qwen3 4B Ft Bf16 Parameters and Internals

LLM Name	Qwen3 4B Ft Bf16
Repository 🤗	https://huggingface.co/prithivMLmods/Qwen3-4B-ft-bf16
Base Model(s)	Qwen/Qwen3-4B Qwen/Qwen3-4B
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-08-07
Maintainer	prithivMLmods
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.52.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 4B Ft Bf16 capabilities

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Instruction Following and Task Automation
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Data Analysis and Insight Generation
Text Generation
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Best Alternatives to Qwen3 4B Ft Bf16

Best Alternatives	Context / RAM	Downloads	Likes
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
GRPO 4 70	256K / 8.1 GB	11	0
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
Fable Traces	256K / 8.1 GB	343	210
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 Sft Prm	256K / 17.6 GB	602	0
...fetensors.chatgpt GPT Codex V2	256K / 8.1 GB	666	2
...rs.chatgpt GPT Gpt5.1 Thinking	256K / 8.1 GB	497	4

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Qwen3-4B-ft-bf16.