Commit
•
8d309eb
1
Parent(s):
5bf1e99
Upload folder using huggingface_hub
Browse files- README.md +137 -0
- added_tokens.json +4 -0
- config.json +33 -0
- generation_config.json +7 -0
- pytorch_model-00001-of-00003.bin +3 -0
- pytorch_model-00002-of-00003.bin +3 -0
- pytorch_model-00003-of-00003.bin +3 -0
- pytorch_model.bin.index.json +692 -0
- special_tokens_map.json +30 -0
- tokenizer.model +3 -0
- tokenizer_config.json +61 -0
README.md
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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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+
base_model: N8Programs/llamoe-8x1b
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tags:
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- generated_from_trainer
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model-index:
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- name: out
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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<details><summary>See axolotl config</summary>
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axolotl version: `0.4.0`
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```yaml
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base_model: N8Programs/llamoe-8x1b
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model_type: MixtralForCausalLM
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tokenizer_type: LlamaTokenizer
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load_in_8bit: false
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load_in_4bit: false
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strict: false
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datasets:
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- path: mhenrichsen/alpaca_2k_test
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type: alpaca
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dataset_prepared_path:
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val_set_size: 0.05
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output_dir: ./out
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sequence_len: 2048
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sample_packing: true
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eval_sample_packing: false
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pad_to_sequence_len: true
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wandb_project: tinyllamoe
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wandb_entity:
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wandb_watch:
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wandb_name: run-1
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wandb_log_model: run-1
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gradient_accumulation_steps: 4
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micro_batch_size: 2
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num_epochs: 4
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optimizer: adafactor
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lr_scheduler: cosine
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learning_rate: 0.0002
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train_on_inputs: false
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group_by_length: false
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bf16: auto
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fp16:
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tf32: false
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gradient_checkpointing: true
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early_stopping_patience:
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resume_from_checkpoint:
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local_rank:
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logging_steps: 1
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xformers_attention:
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flash_attention: true
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warmup_steps: 10
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evals_per_epoch: 4
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saves_per_epoch: 1
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debug:
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deepspeed:
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weight_decay: 0.0
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fsdp:
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fsdp_config:
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special_tokens:
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```
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</details><br>
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# out
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This model is a fine-tuned version of [N8Programs/llamoe-8x1b](https://huggingface.co/N8Programs/llamoe-8x1b) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7176
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 10
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.2099 | 0.04 | 1 | 1.2991 |
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| 1.3823 | 0.27 | 7 | 1.4997 |
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| 10.4722 | 0.54 | 14 | 2.6370 |
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| 1.6521 | 0.82 | 21 | 1.4303 |
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| 1.6555 | 1.07 | 28 | 1.7053 |
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| 1.7864 | 1.34 | 35 | 1.8820 |
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| 1.2141 | 1.61 | 42 | 1.6614 |
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| 1.1488 | 1.88 | 49 | 1.5619 |
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| 0.4733 | 2.14 | 56 | 1.6381 |
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| 0.444 | 2.41 | 63 | 1.6311 |
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| 0.4717 | 2.68 | 70 | 1.6398 |
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| 0.4657 | 2.95 | 77 | 1.5938 |
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| 0.1066 | 3.2 | 84 | 1.6952 |
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| 0.1547 | 3.48 | 91 | 1.7209 |
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| 0.1246 | 3.75 | 98 | 1.7176 |
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### Framework versions
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- Transformers 4.39.0.dev0
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- Pytorch 2.2.0+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.0
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added_tokens.json
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{
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"<|im_end|>": 32001,
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"<|im_start|>": 32000
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}
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config.json
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{
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"_name_or_path": "N8Programs/llamoe-8x1b",
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"architectures": [
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"MixtralForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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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": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 5632,
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"max_position_embeddings": 2048,
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"model_type": "mixtral",
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"num_attention_heads": 32,
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"num_experts_per_tok": 1,
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"num_hidden_layers": 22,
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"num_key_value_heads": 4,
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"num_local_experts": 8,
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"output_router_logits": false,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"router_aux_loss_coef": 0.001,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.39.0.dev0",
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| 31 |
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"use_cache": false,
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"vocab_size": 32032
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}
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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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"do_sample": true,
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"eos_token_id": 2,
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"transformers_version": "4.39.0.dev0"
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}
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pytorch_model-00001-of-00003.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b67d03410d2d2e9f382f157a7d72d683984c141c7607cd4a9919435a744e9e51
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size 4984765513
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pytorch_model-00002-of-00003.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:71f1d74e57b821aa3a36b41ee70901c0439d9513bf75d5ed7093d820f453a6ef
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size 4991985350
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pytorch_model-00003-of-00003.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e9babe262a1b1e5ef016e43fc7953855837f15280ac49987c3e5ae932743dacb
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size 2883027970
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pytorch_model.bin.index.json
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"model.layers.9.block_sparse_moe.experts.6.w1.weight": "pytorch_model-00002-of-00003.bin",
|
| 678 |
+
"model.layers.9.block_sparse_moe.experts.6.w2.weight": "pytorch_model-00002-of-00003.bin",
|
| 679 |
+
"model.layers.9.block_sparse_moe.experts.6.w3.weight": "pytorch_model-00002-of-00003.bin",
|
| 680 |
+
"model.layers.9.block_sparse_moe.experts.7.w1.weight": "pytorch_model-00002-of-00003.bin",
|
| 681 |
+
"model.layers.9.block_sparse_moe.experts.7.w2.weight": "pytorch_model-00002-of-00003.bin",
|
| 682 |
+
"model.layers.9.block_sparse_moe.experts.7.w3.weight": "pytorch_model-00002-of-00003.bin",
|
| 683 |
+
"model.layers.9.block_sparse_moe.gate.weight": "pytorch_model-00002-of-00003.bin",
|
| 684 |
+
"model.layers.9.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
|
| 685 |
+
"model.layers.9.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
|
| 686 |
+
"model.layers.9.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 687 |
+
"model.layers.9.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 688 |
+
"model.layers.9.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 689 |
+
"model.layers.9.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 690 |
+
"model.norm.weight": "pytorch_model-00003-of-00003.bin"
|
| 691 |
+
}
|
| 692 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
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|
| 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": {
|
| 17 |
+
"content": "<s>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "<unk>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
| 3 |
+
size 499723
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,61 @@
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|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": true,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"0": {
|
| 7 |
+
"content": "<unk>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"1": {
|
| 15 |
+
"content": "<s>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"2": {
|
| 23 |
+
"content": "</s>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
},
|
| 30 |
+
"32000": {
|
| 31 |
+
"content": "<|im_start|>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false,
|
| 36 |
+
"special": false
|
| 37 |
+
},
|
| 38 |
+
"32001": {
|
| 39 |
+
"content": "<|im_end|>",
|
| 40 |
+
"lstrip": false,
|
| 41 |
+
"normalized": false,
|
| 42 |
+
"rstrip": false,
|
| 43 |
+
"single_word": false,
|
| 44 |
+
"special": false
|
| 45 |
+
}
|
| 46 |
+
},
|
| 47 |
+
"bos_token": "<s>",
|
| 48 |
+
"chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = 'You are a helpful assistant.' %}{% endif %}{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in loop_messages %}{% if loop.index0 == 0 %}{{'<|im_start|>system\n' + system_message + '<|im_end|>\n'}}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
| 49 |
+
"clean_up_tokenization_spaces": false,
|
| 50 |
+
"eos_token": "</s>",
|
| 51 |
+
"legacy": false,
|
| 52 |
+
"model_max_length": 2048,
|
| 53 |
+
"pad_token": "<s>",
|
| 54 |
+
"padding_side": "left",
|
| 55 |
+
"sp_model_kwargs": {},
|
| 56 |
+
"spaces_between_special_tokens": false,
|
| 57 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 58 |
+
"unk_token": "<unk>",
|
| 59 |
+
"use_default_system_prompt": false,
|
| 60 |
+
"use_fast": true
|
| 61 |
+
}
|