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Merlinite 7B Lab by instructlab

 »  All LLMs  »  instructlab  »  Merlinite 7B Lab   URL Share it on

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  Arxiv:2403.01081   Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational   En   Endpoints compatible   Ibm   Lab   Labrador   Labradorite   Merlinite   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/instructlab/merlinite-7b-lab 

Merlinite 7B Lab Benchmarks

LLME Score: 0.2016
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Merlinite 7B Lab (instructlab/merlinite-7b-lab)

Merlinite 7B Lab Parameters and Internals

Model Type 
text-generation
Additional Notes 
Merlinite-7b is trained using LAB methodology, which uses taxonomy-driven data curation and large-scale synthetic data generation for training.
Supported Languages 
English (Primary)
Training Details 
Methodology:
LAB: Large-scale Alignment for chatBots is a novel synthetic data-based alignment tuning method for LLMs
LLM NameMerlinite 7B Lab
Repository 🤗https://huggingface.co/instructlab/merlinite-7b-lab 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
Maintainerinstructlab
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Padding Token<|pad|>
Vocabulary Size32008
Torch Data Typebfloat16

Best Alternatives to Merlinite 7B Lab

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...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB563316
Hebrew Mistral 7B 200K256K / 30 GB1461915
Astral 256K 7B V2250K / 14.4 GB70
Astral 256K 7B250K / 14.4 GB50
Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than instructlab/merlinite-7b-lab.

Rank the Merlinite 7B Lab 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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Release v20241227
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