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Experiment26 7B by yam-peleg

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  Autotrain compatible   Chat   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/yam-peleg/Experiment26-7B 

Experiment26 7B Benchmarks

ARC: 73.12 vs 96.7 (so35)-24.4%
HellaSwag: 89.12 vs 95.3 (gpt4)-6.5%
MMLU: 64.3 vs 88.3 (so35)-27.2%
TruthfulQA: 78.04 vs 59 (gpt4)32.3%
WinoGrande: 85 vs 87.5 (gpt4)-2.9%
GSM8K: 70.43 vs 96.4 (so35)-26.9%
LLME Score: 0.20574
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Experiment26 7B (yam-peleg/Experiment26-7B)

Experiment26 7B Parameters and Internals

Model Type 
text-generation
Additional Notes 
An experiment for testing and refining a specific training and evaluation pipeline research framework focusing on data engineering, architecture efficiency, and evaluation performance.
LLM NameExperiment26 7B
Repository 🤗https://huggingface.co/yam-peleg/Experiment26-7B 
Model Size7b
Required VRAM14.4 GB
Updated2024-12-22
Maintaineryam-peleg
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<unk>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Experiment26 7B

Model
Likes
Downloads
VRAM
Mistroll 7B V2.212206214 GB
E.star.7B Gguf1134 GB
Experiment26 7B GGUF4712 GB

Best Alternatives to Experiment26 7B

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MegaBeam Mistral 7B 512K512K / 14.4 GB711346
SpydazWeb AI HumanAI RP512K / 14.4 GB261
SpydazWeb AI HumanAI 002512K / 14.4 GB191
...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB328215
Hebrew Mistral 7B 200K256K / 30 GB319315
Astral 256K 7B V2250K / 14.4 GB190
Astral 256K 7B250K / 14.4 GB160
Boptruth Agatha 7B128K / 14.4 GB4750
Note: green Score (e.g. "73.2") means that the model is better than yam-peleg/Experiment26-7B.

Rank the Experiment26 7B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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