What are the hardware requirements for Llama 3 Meerkat 8B V1.0?

Llama 3 Meerkat 8B V1.0 requires approximately 16.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3 Meerkat 8B V1.0 and how large is it?

Llama 3 Meerkat 8B V1.0 is developed by dmis-lab, a model with 8b 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 Llama 3 Meerkat 8B V1.0?

Llama 3 Meerkat 8B V1.0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 Meerkat 8B V1.0 by dmis-lab — VRAM 16.1GB, 8K context

Name: Llama 3 Meerkat 8B V1.0
Author: dmis-lab

Llama 3 Meerkat 8B V1.0 is an open-source language model by dmis-lab. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: cc-by-nc-4.0, Instruction-Based, LLM Explorer Score: 0.13.

Arxiv:2009.03300 Arxiv:2009.13081 Arxiv:2203.14371 Arxiv:2402.18060 Conversational Deploy:azure Endpoints compatible Instruct Instruction-tuned Llama Medical Region:us Safetensors Sharded Small lm Synthetic data Tensorflow Usmle

Model Card on HF 🤗: https://huggingface.co/dmis-lab/llama-3-meerkat-8b-v1.0

Llama 3 Meerkat 8B V1.0 Parameters and Internals

Model Type

text generation, medical reasoning

Use Cases

Areas:

medical education, clinical diagnostics

Applications:

USMLE preparation, medical training

Primary Use Cases:

answering medical exam questions, enhancing medical reasoning

Additional Notes

Designed to excel in complex medical reasoning tasks.

Supported Languages

English (High proficiency)

Training Details

Data Sources:

18 medical textbooks, instruction-following datasets, synthetic data

Methodology:

Instruction-tuning with chain-of-thought reasoning

Input Output

Input Format:

Chat-like conversation format

Accepted Modalities:

text

Output Format:

Step-by-step reasoning followed by a concise answer

Performance Tips:

Utilize the same system messages for best results as used during training.

LLM Name	Llama 3 Meerkat 8B V1.0
Repository 🤗	https://huggingface.co/dmis-lab/llama-3-meerkat-8b-v1.0
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-10
Maintainer	dmis-lab
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Model Architecture	LlamaForCausalLM
License	cc-by-nc-4.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3 Meerkat 8B V1.0 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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...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
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Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
Zero Llama 3.1 8B Beta6	1048K / 16.1 GB	7	1

Note: green Score (e.g. "73.2") means that the model is better than dmis-lab/llama-3-meerkat-8b-v1.0.