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Candle Airoboros Mistral2.2 7B by DanielClough

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  Autotrain compatible   Endpoints compatible   Gguf   Mistral   Q4   Quantized   Region:us   Sharded   Tensorflow

Candle Airoboros Mistral2.2 7B Benchmarks

LLME Score: 0.19767
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Candle Airoboros Mistral2.2 7B Parameters and Internals

LLM NameCandle Airoboros Mistral2.2 7B
Repository 🤗https://huggingface.co/DanielClough/Candle_airoboros-mistral2.2-7b 
Base Model(s)  teknium/airoboros-mistral2.2-7b   teknium/airoboros-mistral2.2-7b
Model Size7b
Required VRAM14.4 GB
Updated2024-09-08
MaintainerDanielClough
Model Typemistral
Model Files  14.5 GB   2.4 GB   3.1 GB   4.1 GB   4.5 GB   4.1 GB   5.0 GB   5.4 GB   5.0 GB   5.9 GB   7.7 GB   8.2 GB   8.3 GB   9.9 GB: 1-of-2   4.5 GB: 2-of-2
GGUF QuantizationYes
Quantization Typeq4|gguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
Candle Airoboros Mistral2.2 7B (DanielClough/Candle_airoboros-mistral2.2-7b)

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Note: green Score (e.g. "73.2") means that the model is better than DanielClough/Candle_airoboros-mistral2.2-7b.

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Release v2024072803
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