What are the hardware requirements for Chico 0.6B 10K?

Chico 0.6B 10K requires approximately 2.4 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Chico 0.6B 10K and how large is it?

Chico 0.6B 10K is developed by NaoS2, a model with 0.6b 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 Chico 0.6B 10K?

Chico 0.6B 10K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Chico 0.6B 10K by NaoS2 — VRAM 2.4GB, 2K context

Name: Chico 0.6B 10K
Author: NaoS2

Chico 0.6B 10K is an open-source language model by NaoS2. Features: 0.6b LLM, VRAM: 2.4GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.11.

Endpoints compatible Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/NaoS2/chico-0.6b-10k

Chico 0.6B 10K Parameters and Internals

LLM Name	Chico 0.6B 10K
Repository 🤗	https://huggingface.co/NaoS2/chico-0.6b-10k
Model Size	0.6b
Required VRAM	2.4 GB
Updated	2026-07-19
Maintainer	NaoS2
Model Type	llama
Model Files	2.4 GB
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.37.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad\|LLM-jp>
Vocabulary Size	50570
Torch Data Type	float32

Rank the Chico 0.6B 10K 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 Chico 0.6B 10K

Best Alternatives	Context / RAM	Downloads	Likes
Tinycodellama Jp 0.6B 30K V2	2K / 2.6 GB	6	0
Tinycodellama Jp 0.6B 20K V3	2K / 2.6 GB	7	0
Tinycodellama Jp 0.6B 25K V2	2K / 2.6 GB	7	0
Tinycodellama Jp 0.6B 20K 2	2K / 2.6 GB	6	0
Tinycodellama Jp 0.6B 25K	2K / 2.6 GB	7	0
Tinycodellama Jp 0.6B 20K	2K / 2.6 GB	8	0
Tinycodellama Jp 0.6B 15K	2K / 2.6 GB	6	0
Tinycodellama 0.6B 10K	2K / 2.6 GB	7	1
Tinycodellama 0.6B 1K	2K / 2.6 GB	10	0
SSSSLM JP V1.0.6B	1K / 2.7 GB	17	6

Note: green Score (e.g. "73.2") means that the model is better than NaoS2/chico-0.6b-10k.