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metadata
base_model: Agnuxo/Qwen2_0.5B
language:
  - en
  - es
license: apache-2.0
tags:
  - text-generation-inference
  - transformers
  - unsloth
  - mistral
  - gguf
datasets:
  - iamtarun/python_code_instructions_18k_alpaca
  - jtatman/python-code-dataset-500k
  - flytech/python-codes-25k
  - Vezora/Tested-143k-Python-Alpaca
  - codefuse-ai/CodeExercise-Python-27k
  - Vezora/Tested-22k-Python-Alpaca
  - mlabonne/Evol-Instruct-Python-26k
library_name: adapter-transformers
metrics:
  - accuracy
  - bertscore
  - bleu
  - comet
  - glue
  - google_bleu
  - perplexity
  - rouge

Uploaded model

  • Developed by: Agnuxo(https://github.com/Agnuxo1)
  • License: apache-2.0
  • Finetuned from model : Agnuxo/Mistral-NeMo-Minitron-8B-Base-Nebulal

This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.

Benchmark Results

This model has been fine-tuned for various tasks and evaluated on the following benchmarks:

accuracy

Accuracy: Not Available

accuracy Accuracy

bertscore

Bertscore: Not Available

bertscore Bertscore

bleu

Bleu: Not Available

bleu Bleu

comet

Comet: Not Available

comet Comet

glue

Glue: Not Available

glue Glue

google_bleu

Google_bleu: Not Available

google_bleu Google_bleu

perplexity

Perplexity: Not Available

perplexity Perplexity

rouge

Rouge: Not Available

rouge Rouge

Model Size: 494,032,768 parameters Required Memory: 1.84 GB

For more details, visit my GitHub.

Thanks for your interest in this model!