What are the hardware requirements for Finnai Slm V4?

Finnai Slm V4 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 Finnai Slm V4 and how large is it?

Finnai Slm V4 is developed by finndot, 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 Finnai Slm V4?

Finnai Slm V4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Finnai Slm V4 by finndot — VRAM 3.4GB, 40K context

Name: Finnai Slm V4
Author: finndot

Finnai Slm V4 is an open-source language model by finndot. Features: 1.7b LLM, VRAM: 3.4GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.3.

Analytics Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-1.7b Bn Chat Conversational Dataset:finndot/finnai-slm-dat... En Endpoints compatible Expense-tracker Finance Finnai Finndot Gu Hi Hinglish India Indian-banking Information-extraction Json-extraction Kn Litert Litert-lm Lora Ml Mobile Model-index Mr On-device Pa Peft Personal-finance Qlora Qwen Qwen3 Region:us Safetensors Sms-parsing Ta Te Tutor Upi

Model Card on HF 🤗: https://huggingface.co/finndot/finnai-slm-v4

Finnai Slm V4 Parameters and Internals

LLM Name	Finnai Slm V4
Repository 🤗	https://huggingface.co/finndot/finnai-slm-v4
Base Model(s)	Qwen/Qwen3-1.7B Qwen/Qwen3-1.7B
Model Size	1.7b
Required VRAM	3.4 GB
Updated	2026-10-09
Maintainer	finndot
Model Type	qwen3
Model Files	3.4 GB
Supported Languages	en hi ta te mr bn kn ml gu pa
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.57.6
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Finnai Slm V4 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 Finnai Slm V4

Best Alternatives	Context / RAM	Downloads	Likes
Lucy 128K	128K / 3.4 GB	123	112
Polaris 1.7B Preview	128K / 3.4 GB	73	8
DictaLM 3.0 1.7B Instruct	60K / 3.4 GB	2842	1
Qwen3 1.7B	40K / 4 GB	5633291	500
ALoDLM 1.7B	40K / 4.1 GB	77	6
CORe Pico 4	40K / 3.4 GB	895	2
CORe Pico V3	40K / 3.4 GB	720	0
Qwen3 1.7B Heretic	40K / 3.4 GB	201	0
...en3 1.7B Teacher Note Severity	40K / 3.4 GB	386	0
KBevo Qwen3 1.7B SFT	40K / 3.4 GB	462	0

Note: green Score (e.g. "73.2") means that the model is better than finndot/finnai-slm-v4.