What are the hardware requirements for Pathi Lite Instruct 1.7B?

Pathi Lite Instruct 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 Pathi Lite Instruct 1.7B and how large is it?

Pathi Lite Instruct 1.7B is developed by pathilabs, 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 Pathi Lite Instruct 1.7B?

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

Pathi Lite Instruct 1.7B by pathilabs — VRAM 3.4GB, 40K context

Name: Pathi Lite Instruct 1.7B
Author: pathilabs

Pathi Lite Instruct 1.7B is an open-source language model by pathilabs. Features: 1.7b LLM, VRAM: 3.4GB, Context: 40K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.25.

Base model:adapter:qwen/qwen3-... Base model:qwen/qwen3-1.7b Causal-language-model Conversational En Finetuned Instruct Lora Pathi-ai Pathi-labs Pathi-lite-instruct-1.7b Peft Qwen Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/pathilabs/Pathi-Lite-Instruct-1.7B

Pathi Lite Instruct 1.7B Parameters and Internals

LLM Name	Pathi Lite Instruct 1.7B
Repository 🤗	https://huggingface.co/pathilabs/Pathi-Lite-Instruct-1.7B
Base Model(s)	Qwen/Qwen3-1.7B Qwen/Qwen3-1.7B
Model Size	1.7b
Required VRAM	3.4 GB
Updated	2026-09-20
Maintainer	pathilabs
Model Type	qwen3
Instruction-Based	Yes
Model Files	3.4 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	5.16.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Pathi Lite Instruct 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 Pathi Lite Instruct 1.7B

Best Alternatives	Context / RAM	Downloads	Likes
DictaLM 3.0 1.7B Instruct	60K / 3.4 GB	2842	1
RIFA FLASH 1.7B	40K / 3.4 GB	583	0
Supertron2 1.7B	40K / 3.4 GB	248	7
Fusionai	40K / 3.4 GB	31	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
Sft V2	32K / 3.4 GB	102	0

Note: green Score (e.g. "73.2") means that the model is better than pathilabs/Pathi-Lite-Instruct-1.7B.