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Meerkat 7B V1.0 by dmis-lab

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Meerkat 7B V1.0 is an open-source language model by dmis-lab. Features: 7b LLM, VRAM: 28.9GB, Context: 32K, 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   Chain-of-thought   Conversational   Endpoints compatible   Instruct   Instruction-tuned   Medical   Mistral   Region:us   Safetensors   Sharded   Small lm   Synthetic data   Tensorflow   Usmle
Model Card on HF 🤗: https://huggingface.co/dmis-lab/meerkat-7b-v1.0 

Meerkat 7B V1.0 Benchmarks

LLME Score: 0.13367
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meerkat 7B V1.0 (dmis-lab/meerkat-7b-v1.0)
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Meerkat 7B V1.0 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, educational use
Applications:
medical instruction, clinical reasoning improvement
Primary Use Cases:
USMLE preparation, complex clinical case analysis
Considerations:
Model is intended for educational purposes and is not a substitute for professional medical advice.
Additional Notes 
Meerkat-7B is instruction-tuned and integrates chain-of-thought reasoning for improved medical problem-solving.
Training Details 
Data Sources:
18 medical textbooks, synthetic datasets
Model Architecture:
based on Mistral-7B-v0.1
Input Output 
Input Format:
Input query should end with 'ASSISTANT:'
Accepted Modalities:
text
Output Format:
Generates text responses
LLM NameMeerkat 7B V1.0
Repository 🤗https://huggingface.co/dmis-lab/meerkat-7b-v1.0 
Model Size7b
Required VRAM28.9 GB
Updated2026-04-16
Maintainerdmis-lab
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.8 GB: 5-of-6   4.2 GB: 6-of-6   0.0 GB
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

Best Alternatives to Meerkat 7B V1.0

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Context / RAM
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...Nemo Instruct 2407 Abliterated1000K / 24.5 GB25420
SpydazWeb AI HumanAI RP512K / 14.4 GB141
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...daz Web AI ChatML 512K Project512K / 14.5 GB120
... Summarize 64K QLoRANET Merged128K / 4.1 GB60
...1 Summarize 64K LoRANET Merged128K / 14.4 GB60
Mistral 7B Instruct V0.232K / 14.4 GB33160952630
Mistral 7B Instruct V0.132K / 14.4 GB4025531830
Mistral 7B Instruct V0.232K / 14.4 GB57590
Mixtral AI CyberCoder32K / 14.3 GB00
Note: green Score (e.g. "73.2") means that the model is better than dmis-lab/meerkat-7b-v1.0.

Rank the Meerkat 7B V1.0 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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