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Climate Framestance 5epoch Mistral Nemo Base 2407 Model by xxxxxccc

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  4bit   Autotrain compatible Base model:quantized:unsloth/m... Base model:unsloth/mistral-nem...   Conversational   En   Endpoints compatible   Gguf   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/xxxxxccc/climate_framestance_5epoch_Mistral-Nemo-Base-2407_model 

Climate Framestance 5epoch Mistral Nemo Base 2407 Model Benchmarks

LLME Score: 0.226
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Climate Framestance 5epoch Mistral Nemo Base 2407 Model (xxxxxccc/climate_framestance_5epoch_Mistral-Nemo-Base-2407_model)

Climate Framestance 5epoch Mistral Nemo Base 2407 Model Parameters and Internals

LLM NameClimate Framestance 5epoch Mistral Nemo Base 2407 Model
Repository 🤗https://huggingface.co/xxxxxccc/climate_framestance_5epoch_Mistral-Nemo-Base-2407_model 
Base Model(s)  ...istral Nemo Base 2407 Bnb 4bit   unsloth/Mistral-Nemo-Base-2407-bnb-4bit
Model Size12.2b
Required VRAM24.5 GB
Updated2024-12-26
Maintainerxxxxxccc
Model Typemistral
Model Files  4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5   24.5 GB   7.5 GB   8.7 GB   13.0 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than xxxxxccc/climate_framestance_5epoch_Mistral-Nemo-Base-2407_model.

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Release v20241217
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