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Test Model by Parissa3

 »  All LLMs  »  Parissa3  »  Test Model   URL Share it on

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  Merged Model Base model:mlabonne/neuralherm... Base model:openpipe/mistral-ft...   Mistral Mlabonne/neuralhermes-2.5-mist... Openpipe/mistral-ft-optimized-...   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Parissa3/test-model 

Test Model Benchmarks

MMLU Pro: 22.85
GPQA: 5.93
MUSR: 17.53
BBH: 32.84
IFEval: 38.83 vs 88 (so35)-55.9%
MATH Lvl 5: 6.5
LLME Score: 0.28682
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Test Model (Parissa3/test-model)

Test Model Parameters and Internals

LLM NameTest Model
Repository 🤗https://huggingface.co/Parissa3/test-model 
Base Model(s)  Mistral Ft Optimized 1218   mlabonne/NeuralHermes-2.5-Mistral-7B   OpenPipe/mistral-ft-optimized-1218   mlabonne/NeuralHermes-2.5-Mistral-7B
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-01-14
MaintainerParissa3
Model Typemistral
Model Files  1.0 GB: 1-of-15   1.0 GB: 2-of-15   1.0 GB: 3-of-15   1.0 GB: 4-of-15   0.9 GB: 5-of-15   1.0 GB: 6-of-15   1.0 GB: 7-of-15   1.0 GB: 8-of-15   0.9 GB: 9-of-15   1.0 GB: 10-of-15   1.0 GB: 11-of-15   1.0 GB: 12-of-15   0.9 GB: 13-of-15   1.0 GB: 14-of-15   0.8 GB: 15-of-15
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.46.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Astral 256K 7B250K / 14.4 GB50
Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than Parissa3/test-model.

Rank the Test Model 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
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