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1CPT MediaDescr 2epoch Mistral Nemo Base 2407 Model by xxxxxccc

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1CPT MediaDescr 2epoch Mistral Nemo Base 2407 Model is an open-source language model by xxxxxccc. Features: 12.2b LLM, VRAM: 24.5GB, Context: 1000K, License: apache-2.0, Quantized, LLM Explorer Score: 0.15.

Base model:quantized:xxxxxccc/... Base model:xxxxxccc/mediadescr...   Conversational   En   Endpoints compatible   Gguf   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/xxxxxccc/1CPT_mediaDescr_2epoch_Mistral-Nemo-Base-2407_model 

1CPT MediaDescr 2epoch Mistral Nemo Base 2407 Model Benchmarks

LLME Score: 0.15006
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
1CPT MediaDescr 2epoch Mistral Nemo Base 2407 Model (xxxxxccc/1CPT_mediaDescr_2epoch_Mistral-Nemo-Base-2407_model)
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1CPT MediaDescr 2epoch Mistral Nemo Base 2407 Model Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This Mistral model was trained 2x faster with Unsloth.
Supported Languages 
en (proficient)
Training Details 
Methodology:
Finetuned using Unsloth and Huggingface's TRL library.
LLM Name1CPT MediaDescr 2epoch Mistral Nemo Base 2407 Model
Repository 🤗https://huggingface.co/xxxxxccc/1CPT_mediaDescr_2epoch_Mistral-Nemo-Base-2407_model 
Base Model(s)  ...h Mistral Nemo Base 2407 Model   xxxxxccc/mediaDescr_2epoch_Mistral-Nemo-Base-2407_model
Model Size12.2b
Required VRAM24.5 GB
Updated2026-04-23
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
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/1CPT_mediaDescr_2epoch_Mistral-Nemo-Base-2407_model.

Rank the 1CPT MediaDescr 2epoch Mistral Nemo Base 2407 Model Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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