Add vicuna prune 0.60 model
Browse files- {vicuna_prune60/2024-05-01-03-26-22 → 2024-05-01-03-26-22}/description.txt +0 -0
- {vicuna_prune60/2024-05-01-03-26-22 → 2024-05-01-03-26-22}/train.sh +0 -0
- {vicuna_prune60/2024-05-01-03-26-22 → 2024-05-01-03-26-22}/training.log +0 -0
- {vicuna_prune60/2024-05-01-03-43-15 → 2024-05-01-03-43-15}/description.txt +0 -0
- {vicuna_prune60/2024-05-01-03-43-15 → 2024-05-01-03-43-15}/train.sh +0 -0
- {vicuna_prune60/2024-05-01-03-43-15 → 2024-05-01-03-43-15}/training.log +0 -0
- config.json +23 -0
- vicuna_prune60/description.txt → description.txt +0 -0
- generation_config.json +7 -0
- vicuna_prune60/pytorch_model.bin → pytorch_model.bin +0 -0
- special_tokens_map.json +24 -0
{vicuna_prune60/2024-05-01-03-26-22 → 2024-05-01-03-26-22}/description.txt
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{vicuna_prune60/2024-05-01-03-26-22 → 2024-05-01-03-26-22}/train.sh
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{vicuna_prune60/2024-05-01-03-26-22 → 2024-05-01-03-26-22}/training.log
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{vicuna_prune60/2024-05-01-03-43-15 → 2024-05-01-03-43-15}/description.txt
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{vicuna_prune60/2024-05-01-03-43-15 → 2024-05-01-03-43-15}/train.sh
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{vicuna_prune60/2024-05-01-03-43-15 → 2024-05-01-03-43-15}/training.log
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config.json
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{
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"_name_or_path": "/home/ubuntu/model_weights/vicuna-7b-v1.3",
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"architectures": [
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"LlamaForCausalLM"
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],
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 2048,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"pad_token_id": 0,
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"rms_norm_eps": 1e-06,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.28.1",
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"use_cache": true,
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"vocab_size": 32000
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}
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vicuna_prune60/description.txt → description.txt
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"pad_token_id": 0,
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"transformers_version": "4.28.1"
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}
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vicuna_prune60/pytorch_model.bin → pytorch_model.bin
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<unk>",
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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