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Nepali Agriculture QA by Hemg

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  4-bit   4bit   Autotrain compatible Base model:quantized:unsloth/m... Base model:unsloth/mistral-7b-...   Bitsandbytes   En   Endpoints compatible   Mistral   Quantized   Region:us   Safetensors   Sft   Trl   Unsloth

Nepali Agriculture QA Benchmarks

LLME Score: 0.227
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Nepali Agriculture QA Parameters and Internals

LLM NameNepali Agriculture QA
Repository 🤗https://huggingface.co/Hemg/Nepali-Agriculture-QA 
Base Model(s)  Mistral 7B Bnb 4bit   unsloth/mistral-7b-bnb-4bit
Model Size7b
Required VRAM4.1 GB
Updated2024-09-18
MaintainerHemg
Model Typemistral
Model Files  4.1 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Nepali Agriculture QA (Hemg/Nepali-Agriculture-QA)

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Note: green Score (e.g. "73.2") means that the model is better than Hemg/Nepali-Agriculture-QA.

Rank the Nepali Agriculture QA Capabilities

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Release v2024072803
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