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Alpaca Mistral 7B V0.2 by teleboas

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  4bit   Autotrain compatible Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-...   Dataset:yahma/alpaca-cleaned   En   Endpoints compatible   Mistral   Pytorch   Quantized   Region:us   Sharded

Alpaca Mistral 7B V0.2 Benchmarks

LLME Score: 0.20513
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Alpaca Mistral 7B V0.2 Parameters and Internals

LLM NameAlpaca Mistral 7B V0.2
Repository 🤗https://huggingface.co/teleboas/alpaca_mistral-7b-v0.2 
Base Model(s)  unsloth/mistral-7b-v0.2-bnb-4bit   unsloth/mistral-7b-v0.2-bnb-4bit
Model Size7b
Required VRAM14.4 GB
Updated2024-09-06
Maintainerteleboas
Model Typemistral
Model Files  4.9 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 Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Alpaca Mistral 7B V0.2 (teleboas/alpaca_mistral-7b-v0.2)

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Note: green Score (e.g. "73.2") means that the model is better than teleboas/alpaca_mistral-7b-v0.2.

Rank the Alpaca Mistral 7B V0.2 Capabilities

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Release v2024072803
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