Instructions to use aixk/miniai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aixk/miniai with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("aixk/miniai", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload checkpoint-1000
Browse files- checkpoint-1000/chat_template.jinja +4 -0
- checkpoint-1000/config.json +63 -0
- checkpoint-1000/generation_config.json +7 -0
- checkpoint-1000/model.safetensors +3 -0
- checkpoint-1000/optimizer.pt +3 -0
- checkpoint-1000/rng_state.pth +3 -0
- checkpoint-1000/scheduler.pt +3 -0
- checkpoint-1000/tokenizer.json +3 -0
- checkpoint-1000/tokenizer_config.json +18 -0
- checkpoint-1000/trainer_state.json +174 -0
- checkpoint-1000/training_args.bin +3 -0
checkpoint-1000/chat_template.jinja
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{% for message in messages %}{{ '<|im_start|>' + message['role'] + '
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' + message['content'] + '<|im_end|>' + '
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' }}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
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' }}{% endif %}
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checkpoint-1000/config.json
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{
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": null,
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"dtype": "float32",
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"eos_token_id": null,
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"hidden_act": "silu",
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"hidden_size": 640,
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"initializer_range": 0.02,
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"intermediate_size": 1536,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings": 2048,
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"max_window_layers": 28,
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"model_type": "qwen2",
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"num_attention_heads": 10,
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"num_hidden_layers": 30,
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"num_key_value_heads": 2,
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| 51 |
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"pad_token_id": null,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 100000.0,
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"rope_type": "default"
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},
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"sliding_window": null,
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"tie_word_embeddings": true,
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"transformers_version": "5.0.0",
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"use_cache": false,
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| 61 |
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"use_sliding_window": false,
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"vocab_size": 151665
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}
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checkpoint-1000/generation_config.json
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{
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"_from_model_config": true,
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"output_attentions": false,
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"output_hidden_states": false,
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"transformers_version": "5.0.0",
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"use_cache": true
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}
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checkpoint-1000/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:949c68f8f18584ed26005ae66e9a31f70eb34d0465503b4b9d7b4c9d8d48fd27
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size 860425256
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checkpoint-1000/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:587d56499783c6a16988e309ee9e6f8f06dfcee6171f42bb863ce5c2a4490cc0
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size 1721079713
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checkpoint-1000/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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size 14645
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checkpoint-1000/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:a0ddd8b81bd93f65a8c6496f3c34318ddf6a7c382d096483dbcc1d427fddd695
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size 1465
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checkpoint-1000/tokenizer.json
ADDED
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version https://git-lfs.github.com/spec/v1
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size 11421892
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checkpoint-1000/tokenizer_config.json
ADDED
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{
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"add_prefix_space": false,
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"backend": "tokenizers",
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"bos_token": null,
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"extra_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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],
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"is_local": false,
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"model_max_length": 131072,
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"pad_token": "<|endoftext|>",
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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}
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checkpoint-1000/trainer_state.json
ADDED
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checkpoint-1000/training_args.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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