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metadata
base_model: Agnuxo/tiny-llama_32bit
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
  - bleurt
  - brier_score
  - cer
  - character
  - charcut_mt
  - chrf
  - code_eval
  - comet
  - competition_math
  - confusion_matrix
  - coval
  - cuad
  - exact_match
  - f1
  - frugalscore
  - glue
  - google_bleu
  - indic_glue
  - mauve
  - meteor
  - perplexity
  - rouge
  - sacrebleu
  - sari
  - squad
  - squad_v2
  - ter

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

bleurt

Bleurt: Not Available

bleurt Bleurt

brier_score

Brier_score: Not Available

brier_score Brier_score

cer

Cer: Not Available

cer Cer

character

Character: Not Available

character Character

charcut_mt

Charcut_mt: Not Available

charcut_mt Charcut_mt

chrf

Chrf: Not Available

chrf Chrf

code_eval

Code_eval: Not Available

code_eval Code_eval

comet

Comet: Not Available

comet Comet

competition_math

Competition_math: Not Available

competition_math Competition_math

confusion_matrix

Confusion_matrix: Not Available

confusion_matrix Confusion_matrix

coval

Coval: Not Available

coval Coval

cuad

Cuad: Not Available

cuad Cuad

exact_match

Exact_match: Not Available

exact_match Exact_match

f1

F1: Not Available

f1 F1

frugalscore

Frugalscore: Not Available

frugalscore Frugalscore

glue

Glue: Not Available

glue Glue

google_bleu

Google_bleu: Not Available

google_bleu Google_bleu

indic_glue

Indic_glue: Not Available

indic_glue Indic_glue

mauve

Mauve: Not Available

mauve Mauve

meteor

Meteor: Not Available

meteor Meteor

perplexity

Perplexity: Not Available

perplexity Perplexity

rouge

Rouge: Not Available

rouge Rouge

sacrebleu

Sacrebleu: Not Available

sacrebleu Sacrebleu

sari

Sari: Not Available

sari Sari

squad

Squad: Not Available

squad Squad

squad_v2

Squad_v2: Not Available

squad_v2 Squad_v2

ter

Ter: Not Available

ter Ter

Model Size: 4,124,864 parameters Required Memory: 0.02 GB

For more details, visit my GitHub.

Thanks for your interest in this model!