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SynthIA 7B V1.5 by migtissera

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  Autotrain compatible   En   Endpoints compatible   Mistral   Pytorch   Region:us   Sharded

SynthIA 7B V1.5 Benchmarks

ARC: 62.71 vs 96.7 (so35)-35.1%
HellaSwag: 83.37 vs 95.3 (gpt4)-12.5%
MMLU: 63.48 vs 88.3 (so35)-28.1%
TruthfulQA: 51.32 vs 59 (gpt4)-13%
WinoGrande: 79.24 vs 87.5 (gpt4)-9.4%
GSM8K: 17.44 vs 96.4 (so35)-81.9%
LLME Score: 0.19539
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

SynthIA 7B V1.5 Parameters and Internals

LLM NameSynthIA 7B V1.5
Repository 🤗https://huggingface.co/migtissera/SynthIA-7B-v1.5 
Model Size7b
Required VRAM14.4 GB
Updated2024-09-07
Maintainermigtissera
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
SynthIA 7B V1.5 (migtissera/SynthIA-7B-v1.5)

Quantized Models of the SynthIA 7B V1.5

Model
Likes
Downloads
VRAM
SynthIA 7B V1.5 GGUF61673 GB
SynthIA 7B V1.5 AWQ0124 GB
SynthIA 7B V1.5 GPTQ0114 GB

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Note: green Score (e.g. "73.2") means that the model is better than migtissera/SynthIA-7B-v1.5.

Rank the SynthIA 7B V1.5 Capabilities

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Instruction Following and Task Automation  
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Release v2024072803
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