What are the hardware requirements for Intent Aware Lfqa Qwen3 4B Intent Implicit?

Intent Aware Lfqa Qwen3 4B Intent Implicit 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 Intent Aware Lfqa Qwen3 4B Intent Implicit and how large is it?

Intent Aware Lfqa Qwen3 4B Intent Implicit is developed by allenai, 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 Intent Aware Lfqa Qwen3 4B Intent Implicit?

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

Intent Aware Lfqa Qwen3 4B Intent Implicit by allenai — VRAM 8.1GB, 40K context

Name: Intent Aware Lfqa Qwen3 4B Intent Implicit
Author: allenai

Intent Aware Lfqa Qwen3 4B Intent Implicit is an open-source language model by allenai. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, License: odc-by, Instruction-Based, LLM Explorer Score: 0.23.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-instr... Conversational En Endpoints compatible Instruct Pytorch Qwen3 Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/allenai/intent-aware-lfqa-qwen3-4b-intent-implicit

Intent Aware Lfqa Qwen3 4B Intent Implicit Parameters and Internals

LLM Name	Intent Aware Lfqa Qwen3 4B Intent Implicit
Repository 🤗	https://huggingface.co/allenai/intent-aware-lfqa-qwen3-4b-intent-implicit
Base Model(s)	Qwen3 4B Instruct 2507 Qwen/Qwen3-4B-Instruct-2507
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-08-10
Maintainer	allenai
Model Type	qwen3
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	odc-by
Context Length	40960
Model Max Length	40960
Transformers Version	4.52.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Intent Aware Lfqa Qwen3 4B Intent Implicit 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 Intent Aware Lfqa Qwen3 4B Intent Implicit

Best Alternatives	Context / RAM	Downloads	Likes
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
Fable Traces	256K / 8.1 GB	358	210
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
Luck Qwen3 4B Code FineTune	256K / 8.1 GB	132	1
Qwen3 4B Sft Prm	256K / 17.6 GB	602	0
...pt Full Qwen3 4b Instruct 2507	256K / 8 GB	365	1
Nexa AI 4B Instruct	256K / 8 GB	576	2
Neuron 4B Instruct	256K / 8.1 GB	313	1

Note: green Score (e.g. "73.2") means that the model is better than allenai/intent-aware-lfqa-qwen3-4b-intent-implicit.