What are the hardware requirements for Doctor Llama 460M?

Doctor Llama 460M requires a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Doctor Llama 460M and how large is it?

Doctor Llama 460M 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 Doctor Llama 460M?

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

Doctor Llama 460M by mmoreirast — 2K context

Name: Doctor Llama 460M
Author: mmoreirast

Doctor Llama 460M is an open-source language model by mmoreirast. Features: 460m LLM, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.13.

Conversational Dataset:mmoreirast/medicine-ev... Dataset:mmoreirast/medicine-tr... Endpoints compatible Llama Llama2 Medicine Pt Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mmoreirast/Doctor-Llama-460m

Doctor Llama 460M Parameters and Internals

Model Type

text generation, language model

Use Cases

Areas:

research, academic

Applications:

medical text processing, fine-tuning in Portuguese

Primary Use Cases:

fine-tuning for medical applications in Portuguese

Limitations:

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

Considerations:

Perform risk and bias assessment before further fine-tuning.

Additional Notes

The model is primarily Brazilian Portuguese language only and is not suitable for translation or generating text in other languages.

Supported Languages

pt (native)

Training Details

Data Sources:

mmoreirast/medicine-training-pt

Methodology:

Fine-tuning

Context Length:

2048

Training Time:

~5 hours

Hardware Used:

NVIDIA A100-SXM4-40GB

Input Output

Input Format:

text

Accepted Modalities:

text

Output Format:

text

LLM Name	Doctor Llama 460M
Repository 🤗	https://huggingface.co/mmoreirast/Doctor-Llama-460m
Model Size	460m
Required VRAM	0 GB
Updated	2026-06-29
Maintainer	mmoreirast
Model Type	llama
Model Files	1.9 GB 3.8 GB 0.0 GB 0.0 GB
Supported Languages	pt
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 Doctor Llama 460M 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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LLAMA 2 460M	4K / 1.8 GB	5	0
TeenyTinyLlama Doc 460M Chat	2K / 1.9 GB	10	0
Doctor Llama Chat	2K / 1.9 GB	7	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
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LiteLlama 460M 1T	1K / 0.9 GB	455	168

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