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Ladybird Base 7B V8 by bobofrut

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  Autotrain compatible   Conversational   En   Endpoints compatible   Finetuned   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Ladybird Base 7B V8 Benchmarks

ARC: 73.21 vs 96.7 (so35)-24.3%
HellaSwag: 89.19 vs 95.3 (gpt4)-6.4%
MMLU: 64.39 vs 88.3 (so35)-27.1%
TruthfulQA: 76.82 vs 59 (gpt4)30.2%
WinoGrande: 85.32 vs 87.5 (gpt4)-2.5%
GSM8K: 70.36 vs 96.4 (so35)-27%
LLME Score: 0.21541
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Ladybird Base 7B V8 Parameters and Internals

LLM NameLadybird Base 7B V8
Repository 🤗https://huggingface.co/bobofrut/ladybird-base-7B-v8 
Model Size7b
Required VRAM14.5 GB
Updated2024-09-21
Maintainerbobofrut
Model Typemistral
Model Files  9.8 GB: 1-of-2   4.7 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16
Ladybird Base 7B V8 (bobofrut/ladybird-base-7B-v8)

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Note: green Score (e.g. "73.2") means that the model is better than bobofrut/ladybird-base-7B-v8.

Rank the Ladybird Base 7B V8 Capabilities

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Instruction Following and Task Automation  
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Release v2024072803
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