What are the hardware requirements for Tiiuae Falcon 7B Instruct W4 G64 AWQ?

Tiiuae Falcon 7B Instruct W4 G64 AWQ requires approximately 4.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tiiuae Falcon 7B Instruct W4 G64 AWQ and how large is it?

Tiiuae Falcon 7B Instruct W4 G64 AWQ is developed by abhinavkulkarni, a model with 7b 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 Tiiuae Falcon 7B Instruct W4 G64 AWQ?

Tiiuae Falcon 7B Instruct W4 G64 AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tiiuae Falcon 7B Instruct W4 G64 AWQ by abhinavkulkarni — VRAM 4.2GB

Name: Tiiuae Falcon 7B Instruct W4 G64 AWQ
Author: abhinavkulkarni

Tiiuae Falcon 7B Instruct W4 G64 AWQ is an open-source language model by abhinavkulkarni. Features: 7b LLM, VRAM: 4.2GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.07.

Awq Custom code Instruct Pytorch Quantized Refinedwebmodel Region:us

Model Card on HF 🤗: https://huggingface.co/abhinavkulkarni/tiiuae-falcon-7b-instruct-w4-g64-awq

Tiiuae Falcon 7B Instruct W4 G64 AWQ Parameters and Internals

Model Type

causal_decoder

Additional Notes

4-bit 64-group size AWQ quantized model for efficient inference.

Training Details

Methodology:

Finetuned on a mixture of chat/instruct datasets

Input Output

Accepted Modalities:

text

LLM Name	Tiiuae Falcon 7B Instruct W4 G64 AWQ
Repository 🤗	https://huggingface.co/abhinavkulkarni/tiiuae-falcon-7b-instruct-w4-g64-awq
Model Size	7b
Required VRAM	4.2 GB
Updated	2026-07-31
Maintainer	abhinavkulkarni
Model Type	RefinedWebModel
Instruction-Based	Yes
Model Files	4.2 GB
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	RWForCausalLM
License	apache-2.0
Model Max Length	2048
Transformers Version	4.33.1
Is Biased	0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	65024
Torch Data Type	float16

Rank the Tiiuae Falcon 7B Instruct W4 G64 AWQ 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

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Falcon 7B Instruct 8bit	0K / 7.2 GB	5	0
Ct2 Int8 Falcon 7B Instruct	0K / GB	5	0
Falcon 7b Python Instructions	0K / 13.8 GB	5	1
Docsgpt 7B Falcon	0K / 13.8 GB	85	15
Falcon 7B Instruct V2	0K / 28.9 GB	5	1
Falcon 7B Finance	0K / 13.8 GB	18	3
Vigogne Falcon 7B Instruct	0K / 14.4 GB	10	1
Falcon 7B Instruct	0K / 14.4 GB	8	1
...on7b Fine Tuned Therapy Merged	0K / 13.8 GB	26	5
Falcon 7B Instruct	0K / 14.4 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than abhinavkulkarni/tiiuae-falcon-7b-instruct-w4-g64-awq.