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Merlinite 7B Pt by instructlab

 »  All LLMs  »  instructlab  »  Merlinite 7B Pt   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   Merlinite-pt   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/instructlab/merlinite-7b-pt 

Merlinite 7B Pt Benchmarks

LLME Score: 0.19627
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Merlinite 7B Pt (instructlab/merlinite-7b-pt)

Merlinite 7B Pt Parameters and Internals

LLM NameMerlinite 7B Pt
Repository 🤗https://huggingface.co/instructlab/merlinite-7b-pt 
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 Version4.40.0
Tokenizer ClassLlamaTokenizer
Padding Token<|pad|>
Vocabulary Size32008
Torch Data Typebfloat16

Quantized Models of the Merlinite 7B Pt

Model
Likes
Downloads
VRAM
Merlinite 7B02514 GB

Best Alternatives to Merlinite 7B Pt

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB462011
MegaBeam Mistral 7B 512K512K / 14.4 GB568150
SpydazWeb AI HumanAI RP512K / 14.4 GB121
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...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-pt.

Rank the Merlinite 7B Pt 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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