What are the hardware requirements for RIFA FLASH 1.7B?

RIFA FLASH 1.7B requires approximately 3.4 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 RIFA FLASH 1.7B and how large is it?

RIFA FLASH 1.7B is developed by smshahbaj, a model with 1.7b 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 RIFA FLASH 1.7B?

RIFA FLASH 1.7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

RIFA FLASH 1.7B by smshahbaj — VRAM 3.4GB, 40K context

Name: RIFA FLASH 1.7B
Author: smshahbaj

RIFA FLASH 1.7B is an open-source language model by smshahbaj. Features: 1.7b LLM, VRAM: 3.4GB, Context: 40K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.32.

Bangla Banglish Base model:adapter:qwen/qwen3-... Base model:qwen/qwen3-1.7b Bengali Bn Coding Conversational En Endpoints compatible Finetuned Instruct Instruction-tuned Lora Qwen3 Region:us Rifa Rifa-flash Safetensors

Model Card on HF 🤗: https://huggingface.co/smshahbaj/RIFA-FLASH-1.7B

RIFA FLASH 1.7B Parameters and Internals

LLM Name	RIFA FLASH 1.7B
Repository 🤗	https://huggingface.co/smshahbaj/RIFA-FLASH-1.7B
Base Model(s)	Qwen/Qwen3-1.7B Qwen/Qwen3-1.7B
Model Size	1.7b
Required VRAM	3.4 GB
Updated	2026-08-30
Maintainer	smshahbaj
Model Type	qwen3
Instruction-Based	Yes
Model Files	3.4 GB
Supported Languages	en bn
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the RIFA FLASH 1.7B 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 RIFA FLASH 1.7B

Best Alternatives	Context / RAM	Downloads	Likes
DictaLM 3.0 1.7B Instruct	60K / 3.4 GB	2842	1
Supertron2 1.7B	40K / 3.4 GB	248	7
Fusionai	40K / 3.4 GB	27	0
...3 1.7B Instruction Noreasoning	40K / 3.4 GB	12020	12
Luth 1.7B Instruct	40K / 3.4 GB	98	14
...ruct Fast CODER Reasoning 2.4B	40K / 9.7 GB	9	1
... Instruct CODER Reasoning 2.7B	40K / 11 GB	8	0
Qwen3 1.7B ShiningValiant3	40K / 6.9 GB	9	5
...wen3 1.7B Tamil 16bit Instruct	40K / 3.4 GB	13	0