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README.md

@@ -1,23 +1,214 @@
+
 ---
-base_model: reciprocate/tiny-llama
-language:
-- en
+base_model: Agnuxo/tiny-llama_32bit
+language: ['en', 'es']
 license: apache-2.0
-tags:
-- text-generation-inference
-- transformers
-- unsloth
-- llama
-- trl
-- sft
+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
+# Uploaded model
 
-- **Developed by:** Agnuxo
+[<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 :** reciprocate/tiny-llama
+- **Finetuned from model :** Agnuxo/Mistral-NeMo-Minitron-8B-Base-Nebulal
 
-This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+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!