What are the hardware requirements for TeenyTinyLlama Doc 460M Chat?

TeenyTinyLlama Doc 460M Chat requires approximately 1.9 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 TeenyTinyLlama Doc 460M Chat and how large is it?

TeenyTinyLlama Doc 460M Chat is developed by mmoreirast, a model with 460m 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 TeenyTinyLlama Doc 460M Chat?

TeenyTinyLlama Doc 460M Chat is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

TeenyTinyLlama Doc 460M Chat by mmoreirast — VRAM 1.9GB, 2K context

Name: TeenyTinyLlama Doc 460M Chat
Author: mmoreirast

TeenyTinyLlama Doc 460M Chat is an open-source language model by mmoreirast. Features: 460m LLM, VRAM: 1.9GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.13.

Autotrain compatible Conversational Endpoints compatible Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mmoreirast/TeenyTinyLlama-Doc-460m-Chat

TeenyTinyLlama Doc 460M Chat Parameters and Internals

Model Type

Text Generation

Use Cases

Areas:

Research

Applications:

Medical Field, Biomedical Informatics

Primary Use Cases:

Study fine-tuning processes in Portuguese, specifically in medicine

Limitations:

Hallucinations, Biases and Toxicity, Unreliable Code, Language Limitations, Repetition and Verbosity

Considerations:

Users should perform their risk analysis and ensure human moderation in applications.

Additional Notes

The main goal of Doctor Llama is educational, providing a basis for further training and experimentation in Portuguese medical language models.

Supported Languages

Portuguese (Native)

Training Details

Data Sources:

aira-med-training-pt

Methodology:

Fine-tuning

Context Length:

2048

Training Time:

~5 hours

Hardware Used:

NVIDIA A100-SXM4-40GB

Input Output

Input Format:

Text prompts in Portuguese

Accepted Modalities:

Text

Output Format:

Text

LLM Name	TeenyTinyLlama Doc 460M Chat
Repository 🤗	https://huggingface.co/mmoreirast/TeenyTinyLlama-Doc-460m-Chat
Model Size	460m
Required VRAM	1.9 GB
Updated	2024-08-24
Maintainer	mmoreirast
Model Type	llama
Model Files	1.9 GB 3.8 GB 0.0 GB
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.38.0
Tokenizer Class	LlamaTokenizer
Padding Token	<pad>
Vocabulary Size	32002
Torch Data Type	float32

Rank the TeenyTinyLlama Doc 460M Chat 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 TeenyTinyLlama Doc 460M Chat

Best Alternatives	Context / RAM	Downloads	Likes
LLAMA 2 460M	4K / 1.8 GB	5	0
Doctor Llama Chat	2K / 1.9 GB	7	0
Doctor Llama 460M	2K / 0 GB	9	0
TeenyTinyLlama Doc 460M	2K / 0 GB	8	0
TeenyTinyLlama 460M Chat	2K / 0 GB	90	3
TeenyTinyLlama 460M	2K / 1.9 GB	145	12
...60M Experimental Ptbr Instruct	2K / 0.9 GB	8	4
DiscordLLama 460M	2K / 0.8 GB	9	0
Lite Vortex	1K / 0.9 GB	17	2
LiteLlama 460M 1T	1K / 0.9 GB	455	168

Note: green Score (e.g. "73.2") means that the model is better than mmoreirast/TeenyTinyLlama-Doc-460m-Chat.