What are the hardware requirements for Tinybooks 110M Idiot Iter1000?

Tinybooks 110M Idiot Iter1000 requires approximately 0.4 GB of VRAM and supports a context window of 1K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tinybooks 110M Idiot Iter1000 and how large is it?

Tinybooks 110M Idiot Iter1000 is developed by fzmnm, a model with 110m 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 Tinybooks 110M Idiot Iter1000?

Tinybooks 110M Idiot Iter1000 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tinybooks 110M Idiot Iter1000 by fzmnm — VRAM 0.4GB, 1K context

Name: Tinybooks 110M Idiot Iter1000
Author: fzmnm

Tinybooks 110M Idiot Iter1000 is an open-source language model by fzmnm. Features: 110m LLM, VRAM: 0.4GB, Context: 1K, License: cc, LLM Explorer Score: 0.12.

Arxiv:2402.14905 Dataset:adam89/tinystorieschin... Dataset:fzmnm/tiny-books-zh Endpoints compatible Llama Pytorch Region:us Zh

Model Card on HF 🤗: https://huggingface.co/fzmnm/tinybooks-110M-idiot-iter1000

Tinybooks 110M Idiot Iter1000 Parameters and Internals

Model Type

text-generation

Supported Languages

zh (Chinese)

Training Details

Data Sources:

fzmnm/tiny-books-zh

LLM Name	Tinybooks 110M Idiot Iter1000
Repository 🤗	https://huggingface.co/fzmnm/tinybooks-110M-idiot-iter1000
Model Size	110m
Required VRAM	0.4 GB
Updated	2026-08-07
Maintainer	fzmnm
Model Type	llama
Model Files	0.4 GB
Supported Languages	zh
Model Architecture	LlamaForCausalLM
License	cc
Context Length	1024
Model Max Length	1024
Transformers Version	4.41.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	5000

Rank the Tinybooks 110M Idiot Iter1000 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 Tinybooks 110M Idiot Iter1000

Best Alternatives	Context / RAM	Downloads	Likes
TinyBalls 110M V1	32K / 0.5 GB	314	1
BigWeave V20 110B	4K / 220 GB	51	0
...10M Experimental V0.1 Instruct	1K / 0.2 GB	36	1
HelpingAI 110M	1K / 0.2 GB	508	2
TinyStoriesChinese 110M	1K / 0.4 GB	5	1
Tinyllama 110M Fp32	1K / 0.4 GB	1480	0
Llama 110M	1K / 0.2 GB	11	0
Tinyllama 110M	1K / 0.2 GB	866	6

Note: green Score (e.g. "73.2") means that the model is better than fzmnm/tinybooks-110M-idiot-iter1000.