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Mistral Trismegistus 7B GPTQ by TheBloke

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Mistral Trismegistus 7B GPTQ Benchmarks

LLME Score: 0.15372
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistral Trismegistus 7B GPTQ Parameters and Internals

LLM NameMistral Trismegistus 7B GPTQ
Repository 🤗https://huggingface.co/TheBloke/Mistral-Trismegistus-7B-GPTQ 
Model NameMistral Trismegistus 7B
Model CreatorTeknium
Base Model(s)  Mistral Trismegistus 7B   teknium/Mistral-Trismegistus-7B
Model Size7b
Required VRAM4.2 GB
Updated2024-10-16
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
Mistral Trismegistus 7B GPTQ (TheBloke/Mistral-Trismegistus-7B-GPTQ)

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

Rank the Mistral Trismegistus 7B GPTQ Capabilities

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Release v2024072803
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