MistralTrix V1 by CultriX

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  Merged Model   Autotrain compatible   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/CultriX/MistralTrix-v1 

MistralTrix V1 Benchmarks

MistralTrix V1 (CultriX/MistralTrix-v1)

MistralTrix V1 Parameters and Internals

Model Type 
text-generation
Additional Notes 
Model has been further fine-tuned to surpass original benchmarks and is inspired by RLHF processes described by Intel.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
Intel's dataset for neural-chat-7b-v3-1
Methodology:
Fine-tuning with Direct Preference Optimization (DPO) and applying ChatML template.
Context Length:
1024
Training Time:
less than a few hours
Hardware Used:
Google Colab A-1000 GPU with 40GB VRAM
LLM NameMistralTrix V1
Repository ๐Ÿค—https://huggingface.co/CultriX/MistralTrix-v1 
Merged ModelYes
Model Size9b
Required VRAM17.9 GB
Updated2025-02-22
MaintainerCultriX
Model Typemistral
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   3.1 GB: 4-of-4
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than CultriX/MistralTrix-v1.

Rank the MistralTrix V1 Capabilities

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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 v20241227