FineMistral 7B Instruct Ead 16bit by Geraldine

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  4bit   Autotrain compatible Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-...   Conversational   En   Endpoints compatible   Instruct   Mistral   Pytorch   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

FineMistral 7B Instruct Ead 16bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
FineMistral 7B Instruct Ead 16bit (Geraldine/FineMistral-7b-instruct-ead-16bit)

FineMistral 7B Instruct Ead 16bit Parameters and Internals

LLM NameFineMistral 7B Instruct Ead 16bit
Repository ๐Ÿค—https://huggingface.co/Geraldine/FineMistral-7b-instruct-ead-16bit 
Base Model(s)  unsloth/mistral-7b-instruct-v0.3-bnb-4bit   unsloth/mistral-7b-instruct-v0.3-bnb-4bit
Model Size7b
Required VRAM14.5 GB
Updated2024-12-21
MaintainerGeraldine
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.47.0
Tokenizer ClassLlamaTokenizer
Padding Token[control_768]
Vocabulary Size32768
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Geraldine/FineMistral-7b-instruct-ead-16bit.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217