What are the hardware requirements for Llama 3 Meerkat 70B V1.0?

Llama 3 Meerkat 70B V1.0 requires approximately 141.9 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 70B V1.0 and how large is it?

Llama 3 Meerkat 70B V1.0 is developed by dmis-lab, a model with 70b 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 70B V1.0?

Llama 3 Meerkat 70B 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 70B V1.0 by dmis-lab — VRAM 141.9GB, 8K context

Name: Llama 3 Meerkat 70B V1.0
Author: dmis-lab

Llama 3 Meerkat 70B V1.0 is an open-source language model by dmis-lab. Features: 70b LLM, VRAM: 141.9GB, 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 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-70b-v1.0

Llama 3 Meerkat 70B V1.0 Parameters and Internals

Model Type

text-generation, instruction-tuned

Use Cases

Areas:

medical

Additional Notes

The model is trained with Cloud TPUs from Google's TPU Research Cloud (TRC).

Training Details

Data Sources:

18 medical textbooks, diverse instruction-following datasets

Methodology:

Fine-tuned using a synthetic dataset consisting of high-quality chain-of-thought reasoning paths.

LLM Name	Llama 3 Meerkat 70B V1.0
Repository 🤗	https://huggingface.co/dmis-lab/llama-3-meerkat-70b-v1.0
Model Size	70b
Required VRAM	141.9 GB
Updated	2026-08-01
Maintainer	dmis-lab
Model Type	llama
Instruction-Based	Yes
Model Files	4.6 GB: 1-of-30 4.7 GB: 2-of-30 5.0 GB: 3-of-30 5.0 GB: 4-of-30 4.7 GB: 5-of-30 4.7 GB: 6-of-30 4.7 GB: 7-of-30 5.0 GB: 8-of-30 5.0 GB: 9-of-30 4.7 GB: 10-of-30 4.7 GB: 11-of-30 4.7 GB: 12-of-30 5.0 GB: 13-of-30 5.0 GB: 14-of-30 4.7 GB: 15-of-30 4.7 GB: 16-of-30 4.7 GB: 17-of-30 5.0 GB: 18-of-30 5.0 GB: 19-of-30 4.7 GB: 20-of-30 4.7 GB: 21-of-30 4.7 GB: 22-of-30 5.0 GB: 23-of-30 5.0 GB: 24-of-30 4.7 GB: 25-of-30 4.7 GB: 26-of-30 4.7 GB: 27-of-30 5.0 GB: 28-of-30 5.0 GB: 29-of-30 2.1 GB: 30-of-30
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 70B 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

Best Alternatives to Llama 3 Meerkat 70B V1.0

Best Alternatives	Context / RAM	Downloads	Likes
... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	9069	5
... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	7684	4
... 3 70B Instruct Gradient 1048K	1024K / 141.9 GB	22	122
Llama3 Function Calling 1048K	1024K / 141.9 GB	5	1
...a 3 70B Instruct Gradient 524K	512K / 141.9 GB	24	23
...a 3 70B Instruct Gradient 262K	256K / 141.9 GB	20	56
...ama 3 70B Arimas Story RP V2.0	256K / 141.1 GB	10	3
...ama 3 70B Arimas Story RP V1.6	256K / 141.2 GB	5	0
...ama 3 70B Arimas Story RP V1.5	256K / 141.2 GB	21	3
Llama 3.1 70B Instruct	128K / 141.9 GB	813492	938

Note: green Score (e.g. "73.2") means that the model is better than dmis-lab/llama-3-meerkat-70b-v1.0.