Merlinite 7B by ibm

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  Arxiv:2403.01081   Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   En   Endpoints compatible   Ibm   Lab   Labrador   Labradorite   Merlinite   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/ibm/merlinite-7b 

Merlinite 7B Benchmarks

Merlinite 7B (ibm/merlinite-7b)

Merlinite 7B Parameters and Internals

Model Type 
text-generation
Additional Notes 
Merlinite-7b is a Mistral-7b-derivative model developed by IBM with a methodology called LAB.
Supported Languages 
en (Primarily English)
Training Details 
Methodology:
LAB (Large-scale Alignment for chatBots) using a taxonomy-driven data curation process and large-scale synthetic data generator.
LLM NameMerlinite 7B
Repository ๐Ÿค—https://huggingface.co/ibm/merlinite-7b 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2024-12-22
Maintaineribm
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 Version4.38.1
Tokenizer ClassLlamaTokenizer
Padding Token<|pad|>
Vocabulary Size32008
Torch Data Typebfloat16

Quantized Models of the Merlinite 7B

Model
Likes
Downloads
VRAM
Merlinite 7B GGUF51362 GB

Best Alternatives to Merlinite 7B

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Note: green Score (e.g. "73.2") means that the model is better than ibm/merlinite-7b.

Rank the Merlinite 7B Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217