What are the hardware requirements for FineTome Llama3.2 1B 0929?

FineTome Llama3.2 1B 0929 requires approximately 2.5 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 FineTome Llama3.2 1B 0929 and how large is it?

FineTome Llama3.2 1B 0929 is developed by NotASI, a model with 1b 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 FineTome Llama3.2 1B 0929?

FineTome Llama3.2 1B 0929 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

FineTome Llama3.2 1B 0929 by NotASI — VRAM 2.5GB, 128K context

Name: FineTome Llama3.2 1B 0929
Author: NotASI

FineTome Llama3.2 1B 0929 is an open-source language model by NotASI. Features: 1b LLM, VRAM: 2.5GB, Context: 128K, License: llama3.2, Quantized, Instruction-Based, LLM Explorer Score: 0.17.

4bit Base model:finetune:unsloth/ll... Base model:unsloth/llama-3.2-1... Conversational Dataset:mlabonne/finetome-100k En Endpoints compatible Instruct Llama Llama-3 Model-index Pytorch Quantized Region:us Safetensors Sft Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/NotASI/FineTome-Llama3.2-1B-0929

FineTome Llama3.2 1B 0929 Parameters and Internals

Model Type

text-generation

Additional Notes

Instructions for installing and running the model are provided, including dependencies and code samples. This model utilizes Unsloth for faster training and inference.

Training Details

Data Sources:

mlabonne/FineTome-100k

Methodology:

This model was trained on mlabonne/FineTome-100k for 2 epochs with rslora + qlora, and achieved a final training loss of 0.796700. The model follows the same chat template as the base model one. This Llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

Training Time:

2 epochs

LLM Name	FineTome Llama3.2 1B 0929
Repository 🤗	https://huggingface.co/NotASI/FineTome-Llama3.2-1B-0929
Base Model(s)	unsloth/Llama-3.2-1B-Instruct-bnb-4bit unsloth/Llama-3.2-1B-Instruct-bnb-4bit
Model Size	1b
Required VRAM	2.5 GB
Updated	2026-07-07
Maintainer	NotASI
Model Type	llama
Instruction-Based	Yes
Model Files	2.5 GB 2.5 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	llama3.2
Context Length	131072
Model Max Length	131072
Transformers Version	4.45.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the FineTome Llama3.2 1B 0929 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

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... Fable5 V2 Thinking OptiQ 4bit	128K / 0.9 GB	1564	5
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Note: green Score (e.g. "73.2") means that the model is better than NotASI/FineTome-Llama3.2-1B-0929.