What are the hardware requirements for Chuxin 1.6B Base?

Chuxin 1.6B Base requires approximately 3.3 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Chuxin 1.6B Base and how large is it?

Chuxin 1.6B Base is developed by chuxin-llm, a model with 1.6b 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 Chuxin 1.6B Base?

Chuxin 1.6B Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Chuxin 1.6B Base by chuxin-llm — VRAM 3.3GB, 4K context

Name: Chuxin 1.6B Base
Author: chuxin-llm

Chuxin 1.6B Base is an open-source language model by chuxin-llm. Features: 1.6b LLM, VRAM: 3.3GB, Context: 4K, License: mit, LLM Explorer Score: 0.12.

Arxiv:2405.04828 Endpoints compatible Llama Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/chuxin-llm/Chuxin-1.6B-Base

Chuxin 1.6B Base Parameters and Internals

Model Type

text generation, contextual retrieval

Use Cases

Areas:

research

Applications:

text generation, contextual retrieval

Primary Use Cases:

common sense reasoning, reading comprehension

Additional Notes

Chuxin-1.6B is built entirely on open-source data and shows competitive capabilities in various tasks.

Training Details

Data Sources:

open-source data

Data Volume:

large-scale

Training Time:

unknown

Input Output

Input Format:

text

Accepted Modalities:

text

Output Format:

text

LLM Name	Chuxin 1.6B Base
Repository 🤗	https://huggingface.co/chuxin-llm/Chuxin-1.6B-Base
Model Size	1.6b
Required VRAM	3.3 GB
Updated	2026-07-19
Maintainer	chuxin-llm
Model Type	llama
Model Files	3.3 GB
Model Architecture	LlamaForCausalLM
License	mit
Context Length	4096
Model Max Length	4096
Transformers Version	4.33.0
Tokenizer Class	LlamaTokenizerFast
Beginning of Sentence Token	<｜begin▁of▁sentence｜>
End of Sentence Token	<｜end▁of▁sentence｜>
Vocabulary Size	102400
Torch Data Type	bfloat16

Rank the Chuxin 1.6B Base 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 Chuxin 1.6B Base

Best Alternatives	Context / RAM	Downloads	Likes
1.5 Pints 16K V0.1	16K / 3.1 GB	57	16
Fox 1 1.6B	8K / 3.3 GB	23	33
Fox 1 1.6B Instruct V0.1	8K / 3.3 GB	12	14
Subnet6 001	8K / 16.1 GB	5	0
6 2	4K / 3.3 GB	136	0
6 1	4K / 3.3 GB	191	0
Model 6	4K / 3.3 GB	66	0
Mymodel	4K / 3.3 GB	7	0
SN6	4K / 3.3 GB	6	0
Chuxin 1.6B 1M	4K / 3.3 GB	11	11

Note: green Score (e.g. "73.2") means that the model is better than chuxin-llm/Chuxin-1.6B-Base.