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TriMistral 7B DARETIES by Muhammad2003

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  Merged Model   Autotrain compatible Base model:instructlab/merlini... Base model:nousresearch/hermes...   Conversational   Endpoints compatible   Instructlab/merlinite-7b-lab   Mistral   Model-index Nousresearch/hermes-2-pro-mist...   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Muhammad2003/TriMistral-7B-DARETIES 

TriMistral 7B DARETIES Benchmarks

ARC: 65.19 vs 96.7 (so35)-32.6%
HellaSwag: 85.4 vs 95.3 (gpt4)-10.4%
MMLU: 64.35 vs 88.3 (so35)-27.1%
TruthfulQA: 56.64 vs 59 (gpt4)-4%
WinoGrande: 78.3 vs 87.5 (gpt4)-10.5%
GSM8K: 60.58 vs 96.4 (so35)-37.2%
LLME Score: 0.19763
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TriMistral 7B DARETIES (Muhammad2003/TriMistral-7B-DARETIES)

TriMistral 7B DARETIES Parameters and Internals

Model Type 
text-generation
Additional Notes 
TriMistral-7B-DARETIES is a merge of multiple models using LazyMergekit, specifically designed for text generation tasks.
LLM NameTriMistral 7B DARETIES
Repository 🤗https://huggingface.co/Muhammad2003/TriMistral-7B-DARETIES 
Base Model(s)  Hermes 2 Pro Mistral 7B   Merlinite 7B Lab   NousResearch/Hermes-2-Pro-Mistral-7B   instructlab/merlinite-7b-lab
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-02-22
MaintainerMuhammad2003
Model Typemistral
Model Files  4.9 GB: 1-of-3   4.9 GB: 2-of-3   4.7 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than Muhammad2003/TriMistral-7B-DARETIES.

Rank the TriMistral 7B DARETIES 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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