What are the hardware requirements for Zephyr Smol Llama 100M Sft Full?

Zephyr Smol Llama 100M Sft Full requires approximately 0.2 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 Zephyr Smol Llama 100M Sft Full and how large is it?

Zephyr Smol Llama 100M Sft Full is developed by amazingvince, a model with 101m 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 Zephyr Smol Llama 100M Sft Full?

Zephyr Smol Llama 100M Sft Full is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Zephyr Smol Llama 100M Sft Full by amazingvince — VRAM 0.2GB, 1K context

Name: Zephyr Smol Llama 100M Sft Full
Author: amazingvince

Zephyr Smol Llama 100M Sft Full is an open-source language model by amazingvince. Features: 101m LLM, VRAM: 0.2GB, Context: 1K, License: apache-2.0, LLM Explorer Score: 0.1.

Base model:bee-spoke-data/smol... Base model:finetune:bee-spoke-... Conversational Endpoints compatible Generated from trainer Llama Region:us Safetensors Tensorboard

Model Card on HF 🤗: https://huggingface.co/amazingvince/zephyr-smol_llama-100m-sft-full

Zephyr Smol Llama 100M Sft Full Parameters and Internals

Additional Notes

The model is fine-tuned from the 'smol_llama-101M-GQA' base model, with specific hyperparameters highlighted in the training procedure.

Training Details

Hardware Used:

2 GPUs

LLM Name	Zephyr Smol Llama 100M Sft Full
Repository 🤗	https://huggingface.co/amazingvince/zephyr-smol_llama-100m-sft-full
Base Model(s)	Smol Llama 101M GQA BEE-spoke-data/smol_llama-101M-GQA
Model Size	101m
Required VRAM	0.2 GB
Updated	2026-07-07
Maintainer	amazingvince
Model Type	llama
Model Files	0.2 GB 0.0 GB
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	1024
Model Max Length	1024
Transformers Version	4.35.0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32128
Torch Data Type	bfloat16

Rank the Zephyr Smol Llama 100M Sft Full 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
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Code Generation
Multi-Language Support and Translation

Best Alternatives to Zephyr Smol Llama 100M Sft Full

Best Alternatives	Context / RAM	Downloads	Likes
Smol Llama 101M GQA	1K / 0.4 GB	465	33
Smol Llama 101M Chat V1	1K / 0.4 GB	85	9
...Llama 101M Midjourney Messages	1K / 0.4 GB	13	1
Smol Llama 101M GQA Python	1K / 0.4 GB	14	1

Note: green Score (e.g. "73.2") means that the model is better than amazingvince/zephyr-smol_llama-100m-sft-full.