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Flammen17 Mistral 7B AWQ by solidrust

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  4-bit   Autotrain compatible   Awq Base model:flammenai/flammen17... Base model:quantized:flammenai...   Endpoints compatible   Merge   Mergekit   Mistral   Quantized   Region:us   Safetensors

Flammen17 Mistral 7B AWQ Benchmarks

LLME Score: 0.20983
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Flammen17 Mistral 7B AWQ Parameters and Internals

LLM NameFlammen17 Mistral 7B AWQ
Repository 🤗https://huggingface.co/solidrust/flammen17-mistral-7B-AWQ 
Base Model(s)  nbeerbower/flammen17-mistral-7B   nbeerbower/flammen17-mistral-7B
Model Size7b
Required VRAM4.2 GB
Updated2024-09-20
Maintainersolidrust
Model Typemistral
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Flammen17 Mistral 7B AWQ (solidrust/flammen17-mistral-7B-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than solidrust/flammen17-mistral-7B-AWQ.

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Release v2024072803
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