---
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

[<img src="https://github.githubassets.com/assets/GitHub-Mark-ea2971cee799.png" width="100"/><img src="https://github.githubassets.com/assets/GitHub-Logo-ee398b662d42.png" width="100"/>](https://github.com/Agnuxo1)
- **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](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)


## Benchmark Results

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

### accuracy
**Accuracy:** Not Available

![accuracy Accuracy](./accuracy_accuracy.png)

### bertscore
**Bertscore:** Not Available

![bertscore Bertscore](./bertscore_bertscore.png)

### bleu
**Bleu:** Not Available

![bleu Bleu](./bleu_bleu.png)

### bleurt
**Bleurt:** Not Available

![bleurt Bleurt](./bleurt_bleurt.png)

### brier_score
**Brier_score:** Not Available

![brier_score Brier_score](./brier_score_brier_score.png)

### cer
**Cer:** Not Available

![cer Cer](./cer_cer.png)

### character
**Character:** Not Available

![character Character](./character_character.png)

### charcut_mt
**Charcut_mt:** Not Available

![charcut_mt Charcut_mt](./charcut_mt_charcut_mt.png)

### chrf
**Chrf:** Not Available

![chrf Chrf](./chrf_chrf.png)

### code_eval
**Code_eval:** Not Available

![code_eval Code_eval](./code_eval_code_eval.png)

### comet
**Comet:** Not Available

![comet Comet](./comet_comet.png)

### competition_math
**Competition_math:** Not Available

![competition_math Competition_math](./competition_math_competition_math.png)

### confusion_matrix
**Confusion_matrix:** Not Available

![confusion_matrix Confusion_matrix](./confusion_matrix_confusion_matrix.png)

### coval
**Coval:** Not Available

![coval Coval](./coval_coval.png)

### cuad
**Cuad:** Not Available

![cuad Cuad](./cuad_cuad.png)

### exact_match
**Exact_match:** Not Available

![exact_match Exact_match](./exact_match_exact_match.png)

### f1
**F1:** Not Available

![f1 F1](./f1_f1.png)

### frugalscore
**Frugalscore:** Not Available

![frugalscore Frugalscore](./frugalscore_frugalscore.png)

### glue
**Glue:** Not Available

![glue Glue](./glue_glue.png)

### google_bleu
**Google_bleu:** Not Available

![google_bleu Google_bleu](./google_bleu_google_bleu.png)

### indic_glue
**Indic_glue:** Not Available

![indic_glue Indic_glue](./indic_glue_indic_glue.png)

### mauve
**Mauve:** Not Available

![mauve Mauve](./mauve_mauve.png)

### meteor
**Meteor:** Not Available

![meteor Meteor](./meteor_meteor.png)

### perplexity
**Perplexity:** Not Available

![perplexity Perplexity](./perplexity_perplexity.png)

### rouge
**Rouge:** Not Available

![rouge Rouge](./rouge_rouge.png)

### sacrebleu
**Sacrebleu:** Not Available

![sacrebleu Sacrebleu](./sacrebleu_sacrebleu.png)

### sari
**Sari:** Not Available

![sari Sari](./sari_sari.png)

### squad
**Squad:** Not Available

![squad Squad](./squad_squad.png)

### squad_v2
**Squad_v2:** Not Available

![squad_v2 Squad_v2](./squad_v2_squad_v2.png)

### ter
**Ter:** Not Available

![ter Ter](./ter_ter.png)


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

For more details, visit my [GitHub](https://github.com/Agnuxo1).

Thanks for your interest in this model!