What are the hardware requirements for Dhanishtha?

Dhanishtha requires approximately 3.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Dhanishtha and how large is it?

Dhanishtha is developed by AI4free, a model with 1.8b 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 Dhanishtha?

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

Dhanishtha by AI4free — VRAM 3.5GB, 128K context

Name: Dhanishtha
Author: AI4free

Dhanishtha is an open-source language model by AI4free. Features: 1.8b LLM, VRAM: 3.5GB, Context: 128K, LLM Explorer Score: 0.2.

Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/AI4free/Dhanishtha

Dhanishtha Parameters and Internals

LLM Name	Dhanishtha
Repository 🤗	https://huggingface.co/AI4free/Dhanishtha
Model Size	1.8b
Required VRAM	3.5 GB
Updated	2025-02-21
Maintainer	AI4free
Model Type	qwen2
Model Files	3.5 GB
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.3
Tokenizer Class	LlamaTokenizer
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	151936
Torch Data Type	float16

Rank the Dhanishtha 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 Dhanishtha

Best Alternatives	Context / RAM	Downloads	Likes
Palmyra Mini Thinking B	128K / 3.5 GB	35	27
LaConfiance PRYMMAL ECE TW3	128K / 7.1 GB	6	0
Reyna Mini 1.8B V0.1	32K / 3.7 GB	66	2
Qwen1.5 1.8B Chat	32K / 3.7 GB	66688	75
Qwen1.5 1.8B	32K / 3.7 GB	67455	59
Qwen1.5 1.8B Chat Heretic	32K / 3.7 GB	8	0
Qwen1.5 1.8B Chat Heretic	32K / 3.7 GB	6	0
Colegium Ai 1.8B	32K / 3.7 GB	6	0
Qwen Fine Tuned V0	32K / 3.7 GB	6	0
Qwen1.5 1.8B Seed Sft	32K / 3.7 GB	12	0

Note: green Score (e.g. "73.2") means that the model is better than AI4free/Dhanishtha.