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Configurable Mistral 7B by vicgalle

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  Arxiv:1910.09700   Autotrain compatible   Conversational Dataset:vicgalle/configurable-...   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Configurable Mistral 7B Benchmarks

LLME Score: 0.28554
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Configurable Mistral 7B Parameters and Internals

LLM NameConfigurable Mistral 7B
Repository 🤗https://huggingface.co/vicgalle/Configurable-Mistral-7B 
Model Size7b
Required VRAM14.4 GB
Updated2024-09-07
Maintainervicgalle
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16
Configurable Mistral 7B (vicgalle/Configurable-Mistral-7B)

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Note: green Score (e.g. "73.2") means that the model is better than vicgalle/Configurable-Mistral-7B.

Rank the Configurable Mistral 7B Capabilities

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Release v2024072803
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