Instructions to use LocalLite/python-code-cot-ministral-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LocalLite/python-code-cot-ministral-8B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LocalLite/python-code-cot-ministral-8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- .gitattributes +4 -0
- checkpoint-300/adapter_config.json +42 -0
- checkpoint-300/special_tokens_map.json +24 -0
- checkpoint-300/tokenizer.json +3 -0
- checkpoint-300/tokenizer_config.json +0 -0
- checkpoint-300/trainer_state.json +400 -0
- checkpoint-400/adapter_config.json +42 -0
- checkpoint-400/special_tokens_map.json +24 -0
- checkpoint-400/tokenizer.json +3 -0
- checkpoint-400/tokenizer_config.json +0 -0
- checkpoint-400/trainer_state.json +522 -0
- checkpoint-500/adapter_config.json +42 -0
- checkpoint-500/special_tokens_map.json +24 -0
- checkpoint-500/tokenizer.json +3 -0
- checkpoint-500/tokenizer_config.json +0 -0
- checkpoint-500/trainer_state.json +644 -0
- special_tokens_map.json +24 -0
- tokenizer.json +3 -0
- tokenizer_config.json +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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checkpoint-300/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-400/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-300/adapter_config.json
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checkpoint-300/special_tokens_map.json
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checkpoint-300/tokenizer.json
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checkpoint-300/tokenizer_config.json
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checkpoint-300/trainer_state.json
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{
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checkpoint-500/adapter_config.json
ADDED
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checkpoint-500/tokenizer.json
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"num_tokens": 2035965.0,
|
| 609 |
+
"step": 500
|
| 610 |
+
},
|
| 611 |
+
{
|
| 612 |
+
"epoch": 2.155675675675676,
|
| 613 |
+
"eval_entropy": 0.5036718782673522,
|
| 614 |
+
"eval_loss": 0.500381350517273,
|
| 615 |
+
"eval_mean_token_accuracy": 0.8574583268747097,
|
| 616 |
+
"eval_num_tokens": 2035965.0,
|
| 617 |
+
"eval_runtime": 40.5814,
|
| 618 |
+
"eval_samples_per_second": 4.041,
|
| 619 |
+
"eval_steps_per_second": 4.041,
|
| 620 |
+
"step": 500
|
| 621 |
+
}
|
| 622 |
+
],
|
| 623 |
+
"logging_steps": 10,
|
| 624 |
+
"max_steps": 500,
|
| 625 |
+
"num_input_tokens_seen": 0,
|
| 626 |
+
"num_train_epochs": 3,
|
| 627 |
+
"save_steps": 100,
|
| 628 |
+
"stateful_callbacks": {
|
| 629 |
+
"TrainerControl": {
|
| 630 |
+
"args": {
|
| 631 |
+
"should_epoch_stop": false,
|
| 632 |
+
"should_evaluate": false,
|
| 633 |
+
"should_log": false,
|
| 634 |
+
"should_save": true,
|
| 635 |
+
"should_training_stop": true
|
| 636 |
+
},
|
| 637 |
+
"attributes": {}
|
| 638 |
+
}
|
| 639 |
+
},
|
| 640 |
+
"total_flos": 9.354272034926592e+16,
|
| 641 |
+
"train_batch_size": 1,
|
| 642 |
+
"trial_name": null,
|
| 643 |
+
"trial_params": null
|
| 644 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d7edbeaf20dd7f571b5dd1c54d9ace4f9b6299127cc7ba2afb14a6d51a4a79a4
|
| 3 |
+
size 17078136
|
tokenizer_config.json
ADDED
|
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|
|