Who developed Mc Ai and how large is it?

Mc Ai is developed by mohitchilakala, a model with 0.8b 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 Mc Ai?

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

Mc Ai by mohitchilakala

Name: Mc Ai
Author: mohitchilakala

Mc Ai is an open-source language model by mohitchilakala. Features: 0.8b LLM, License: apache-2.0, LLM Explorer Score: 0.28.

Adapter Base model:adapter:qwen/qwen3.... Base model:qwen/qwen3.5-0.8b-b... Conversational Finetuned Lora Peft Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mohitchilakala/mc-ai

Mc Ai Parameters and Internals

LLM Name	Mc Ai
Repository 🤗	https://huggingface.co/mohitchilakala/mc-ai
Base Model(s)	Qwen/Qwen3.5-0.8B-Base Qwen/Qwen3.5-0.8B-Base
Model Size	0.8b
Required VRAM	0 GB
Updated	2026-09-26
Maintainer	mohitchilakala
Model Files	0.0 GB
Model Architecture	Adapter
License	apache-2.0
Model Max Length	262144
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|gate_proj\|v_proj\|down_proj\|o_proj\|k_proj\|up_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16
Errors	replace

Rank the Mc Ai capabilities

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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 Mc Ai

Best Alternatives	Context / RAM	Downloads	Likes
...wen3.5 0.8B CommonsenseQA LoRA	0K / 0 GB	9	1