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- adapter/README.md +133 -0
- adapter/adapter_config.json +39 -0
- adapter/adapter_model.bin +3 -0
- adapter/checkpoint-1220/README.md +204 -0
- adapter/checkpoint-1220/adapter_config.json +39 -0
- adapter/checkpoint-1220/adapter_model.safetensors +3 -0
- adapter/checkpoint-1220/optimizer.pt +3 -0
- adapter/checkpoint-1220/rng_state.pth +3 -0
- adapter/checkpoint-1220/scheduler.pt +3 -0
- adapter/checkpoint-1220/special_tokens_map.json +30 -0
- adapter/checkpoint-1220/tokenizer.json +0 -0
- adapter/checkpoint-1220/tokenizer.model +3 -0
- adapter/checkpoint-1220/tokenizer_config.json +47 -0
- adapter/checkpoint-1220/trainer_state.json +0 -0
- adapter/checkpoint-1220/training_args.bin +3 -0
- adapter/checkpoint-206/README.md +204 -0
- adapter/checkpoint-206/adapter_config.json +39 -0
- adapter/checkpoint-206/adapter_model.safetensors +3 -0
- adapter/checkpoint-206/optimizer.pt +3 -0
- adapter/checkpoint-206/rng_state.pth +3 -0
- adapter/checkpoint-206/scheduler.pt +3 -0
- adapter/checkpoint-206/special_tokens_map.json +30 -0
- adapter/checkpoint-206/tokenizer.json +0 -0
- adapter/checkpoint-206/tokenizer.model +3 -0
- adapter/checkpoint-206/tokenizer_config.json +47 -0
- adapter/checkpoint-206/trainer_state.json +1487 -0
- adapter/checkpoint-206/training_args.bin +3 -0
- adapter/checkpoint-309/README.md +204 -0
- adapter/checkpoint-309/adapter_config.json +39 -0
- adapter/checkpoint-309/adapter_model.safetensors +3 -0
- adapter/checkpoint-309/optimizer.pt +3 -0
- adapter/checkpoint-309/rng_state.pth +3 -0
- adapter/checkpoint-309/scheduler.pt +3 -0
- adapter/checkpoint-309/special_tokens_map.json +30 -0
- adapter/checkpoint-309/tokenizer.json +0 -0
- adapter/checkpoint-309/tokenizer.model +3 -0
- adapter/checkpoint-309/tokenizer_config.json +47 -0
- adapter/checkpoint-309/trainer_state.json +2216 -0
- adapter/checkpoint-309/training_args.bin +3 -0
- adapter/checkpoint-610/README.md +204 -0
- adapter/checkpoint-610/adapter_config.json +39 -0
- adapter/checkpoint-610/adapter_model.safetensors +3 -0
- adapter/checkpoint-610/optimizer.pt +3 -0
- adapter/checkpoint-610/rng_state.pth +3 -0
- adapter/checkpoint-610/scheduler.pt +3 -0
- adapter/checkpoint-610/special_tokens_map.json +30 -0
- adapter/checkpoint-610/tokenizer.json +0 -0
- adapter/checkpoint-610/tokenizer.model +3 -0
- adapter/checkpoint-610/tokenizer_config.json +47 -0
- adapter/checkpoint-610/trainer_state.json +0 -0
adapter/README.md
ADDED
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---
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: jamba
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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: jamba
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trust_remote_code: true
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load_in_8bit: false
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load_in_4bit: true
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strict: false
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datasets:
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- path: scikit_admin_result.json
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ds_type: json
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type: sharegpt
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conversation: chatml
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dataset_prepared_path:
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val_set_size: 0.01
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output_dir: ./out
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sequence_len: 6000
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sample_packing: true
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pad_to_sequence_len: false
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eval_sample_packing: true
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use_wandb: false
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adapter: qlora
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lora_r: 8
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lora_alpha: 16
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lora_dropout: 0.05
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lora_target_linear: true
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low_cpu_mem_usage: true
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gradient_accumulation_steps: 4
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micro_batch_size: 1
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num_epochs: 2
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optimizer: paged_adamw_8bit
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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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gradient_checkpointing_kwargs:
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use_reentrant: false
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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: 2
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saves_per_epoch: 2
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debug:
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weight_decay: 0.0
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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 was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2356
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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: 1
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 4
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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: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.4337 | 0.0 | 1 | 0.3783 |
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| 0.2537 | 0.5 | 103 | 0.2345 |
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| 0.2161 | 1.0 | 206 | 0.2258 |
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| 0.1821 | 1.47 | 309 | 0.2356 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.40.0.dev0
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- Pytorch 2.2.2+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.0
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adapter/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "jamba",
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"bias": "none",
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"fan_in_fan_out": null,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"router",
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"k_proj",
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"up_proj",
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"dt_proj",
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"down_proj",
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"v_proj",
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"q_proj",
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"x_proj",
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"out_proj",
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"gate_proj",
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"o_proj",
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"in_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:5d7d992af165663bcede80898140ca1b1c88f4a83c509c23d81abaef94685fea
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size 532044386
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adapter/checkpoint-1220/README.md
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---
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library_name: peft
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base_model: /home/outscale/jamba
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
|
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
|
201 |
+
|
202 |
+
### Framework versions
|
203 |
+
|
204 |
+
- PEFT 0.10.0
|
adapter/checkpoint-1220/adapter_config.json
ADDED
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
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|
2 |
+
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|
3 |
+
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|
4 |
+
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|
5 |
+
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|
6 |
+
"fan_in_fan_out": null,
|
7 |
+
"inference_mode": true,
|
8 |
+
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|
9 |
+
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|
10 |
+
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|
11 |
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|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 16,
|
14 |
+
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|
15 |
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|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
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|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 8,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"router",
|
24 |
+
"x_proj",
|
25 |
+
"down_proj",
|
26 |
+
"gate_proj",
|
27 |
+
"out_proj",
|
28 |
+
"o_proj",
|
29 |
+
"dt_proj",
|
30 |
+
"in_proj",
|
31 |
+
"q_proj",
|
32 |
+
"k_proj",
|
33 |
+
"up_proj",
|
34 |
+
"v_proj"
|
35 |
+
],
|
36 |
+
"task_type": "CAUSAL_LM",
|
37 |
+
"use_dora": false,
|
38 |
+
"use_rslora": false
|
39 |
+
}
|
adapter/checkpoint-1220/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
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|
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|
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+
size 531607760
|
adapter/checkpoint-1220/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
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|
1 |
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version https://git-lfs.github.com/spec/v1
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size 269103876
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adapter/checkpoint-1220/rng_state.pth
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@@ -0,0 +1,3 @@
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|
1 |
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version https://git-lfs.github.com/spec/v1
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|
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size 14244
|
adapter/checkpoint-1220/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
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|
1 |
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version https://git-lfs.github.com/spec/v1
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size 1064
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adapter/checkpoint-1220/special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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+
}
|
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+
}
|
adapter/checkpoint-1220/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
adapter/checkpoint-1220/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 1124742
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adapter/checkpoint-1220/tokenizer_config.json
ADDED
@@ -0,0 +1,47 @@
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|
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|
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|
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|
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|
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|
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|
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|
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|
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},
|
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|
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|
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|
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|
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|
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|
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|
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+
},
|
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|
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|
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|
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|
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|
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|
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+
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|
28 |
+
},
|
29 |
+
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|
30 |
+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
"special": true
|
36 |
+
}
|
37 |
+
},
|
38 |
+
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|
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+
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|
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+
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|
41 |
+
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|
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+
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|
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|
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"tokenizer_class": "LlamaTokenizer",
|
45 |
+
"unk_token": "<|unk|>",
|
46 |
+
"use_default_system_prompt": false
|
47 |
+
}
|
adapter/checkpoint-1220/trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
adapter/checkpoint-1220/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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|
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size 5752
|
adapter/checkpoint-206/README.md
ADDED
@@ -0,0 +1,204 @@
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
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|
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|
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|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: jamba
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
|
201 |
+
|
202 |
+
### Framework versions
|
203 |
+
|
204 |
+
- PEFT 0.10.0
|
adapter/checkpoint-206/adapter_config.json
ADDED
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "jamba",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": null,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 16,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 8,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"router",
|
24 |
+
"k_proj",
|
25 |
+
"up_proj",
|
26 |
+
"dt_proj",
|
27 |
+
"down_proj",
|
28 |
+
"v_proj",
|
29 |
+
"q_proj",
|
30 |
+
"x_proj",
|
31 |
+
"out_proj",
|
32 |
+
"gate_proj",
|
33 |
+
"o_proj",
|
34 |
+
"in_proj"
|
35 |
+
],
|
36 |
+
"task_type": "CAUSAL_LM",
|
37 |
+
"use_dora": false,
|
38 |
+
"use_rslora": false
|
39 |
+
}
|
adapter/checkpoint-206/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
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|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:09e677677bfec671f0911a810fd9b0bf20714d52d5ce03dc5221fb70513a1262
|
3 |
+
size 531607760
|
adapter/checkpoint-206/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
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|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:716bc4dad716654d3d93ac99c6fc2bd45f39ff322ff26b79e52725cdeaae0cf6
|
3 |
+
size 269101956
|
adapter/checkpoint-206/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
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|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:2978a5426f1128c6e1502b9139bd97cf1e43d6b6a515925c1889a0dad39c001a
|
3 |
+
size 14244
|
adapter/checkpoint-206/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
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|
|
|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:4e7a30aad0caae419d7e5867d8acb8c34f83ded00c4e91be27a719b3c5cc6679
|
3 |
+
size 1064
|
adapter/checkpoint-206/special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
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|
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{
|
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|
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"content": "<|startoftext|>",
|
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|
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|
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|
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|
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},
|
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"eos_token": {
|
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"content": "<|endoftext|>",
|
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|
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|
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|
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|
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},
|
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|
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|
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|
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|
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|
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|
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|
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|
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"content": "<|unk|>",
|
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|
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+
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|
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+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
adapter/checkpoint-206/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
adapter/checkpoint-206/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
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|
1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:02fd6530b8ede0eedd8e509fcab32da7b1dd04c8119f8498c787100f13112713
|
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size 1124742
|
adapter/checkpoint-206/tokenizer_config.json
ADDED
@@ -0,0 +1,47 @@
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{
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"special": true
|
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+
},
|
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|
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|
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|
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|
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|
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|
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|
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},
|
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|
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|
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|
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|
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|
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|
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|
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+
},
|
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|
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+
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|
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|
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|
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|
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|
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"special": true
|
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+
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|
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|
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|
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|
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|
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|
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|
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|
46 |
+
"use_default_system_prompt": false
|
47 |
+
}
|
adapter/checkpoint-206/trainer_state.json
ADDED
@@ -0,0 +1,1487 @@
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---
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2 |
+
library_name: peft
|
3 |
+
base_model: jamba
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
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|
88 |
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#### Preprocessing [optional]
|
89 |
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|
90 |
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[More Information Needed]
|
91 |
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|
92 |
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|
93 |
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#### Training Hyperparameters
|
94 |
+
|
95 |
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
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|
97 |
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#### Speeds, Sizes, Times [optional]
|
98 |
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|
99 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
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|
101 |
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[More Information Needed]
|
102 |
+
|
103 |
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## Evaluation
|
104 |
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|
105 |
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<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
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|
107 |
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### Testing Data, Factors & Metrics
|
108 |
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|
109 |
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#### Testing Data
|
110 |
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|
111 |
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<!-- This should link to a Dataset Card if possible. -->
|
112 |
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|
113 |
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[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
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|
119 |
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[More Information Needed]
|
120 |
+
|
121 |
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#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
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|
175 |
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**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
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[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
|
201 |
+
|
202 |
+
### Framework versions
|
203 |
+
|
204 |
+
- PEFT 0.10.0
|
adapter/checkpoint-309/adapter_config.json
ADDED
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "jamba",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": null,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
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|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 16,
|
14 |
+
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|
15 |
+
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|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 8,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"router",
|
24 |
+
"k_proj",
|
25 |
+
"up_proj",
|
26 |
+
"dt_proj",
|
27 |
+
"down_proj",
|
28 |
+
"v_proj",
|
29 |
+
"q_proj",
|
30 |
+
"x_proj",
|
31 |
+
"out_proj",
|
32 |
+
"gate_proj",
|
33 |
+
"o_proj",
|
34 |
+
"in_proj"
|
35 |
+
],
|
36 |
+
"task_type": "CAUSAL_LM",
|
37 |
+
"use_dora": false,
|
38 |
+
"use_rslora": false
|
39 |
+
}
|
adapter/checkpoint-309/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:672e306dc3ddbb4afde761b3b3ad9035f14d15c0b170bbb497ea2fa09636cb19
|
3 |
+
size 531607760
|
adapter/checkpoint-309/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
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|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:45cca5267309c07e45ecd7991816f9a38b29970f9b0ff77950a33f753a8713ce
|
3 |
+
size 269103876
|
adapter/checkpoint-309/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:b5f53b2a61c1efffe621c0a2cf9b356c3c7b0fdad54deca93d49083c54eb2a00
|
3 |
+
size 14244
|
adapter/checkpoint-309/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:c5d4e83c4c1a839e05c4c1a4eceff1aa30f050b924d66090d9627d27c02ca9ce
|
3 |
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size 1064
|
adapter/checkpoint-309/special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
24 |
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|
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|
26 |
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|
27 |
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"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
adapter/checkpoint-309/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
adapter/checkpoint-309/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:02fd6530b8ede0eedd8e509fcab32da7b1dd04c8119f8498c787100f13112713
|
3 |
+
size 1124742
|
adapter/checkpoint-309/tokenizer_config.json
ADDED
@@ -0,0 +1,47 @@
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{
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|
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|
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|
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|
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|
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|
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|
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|
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|
12 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
36 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
45 |
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"unk_token": "<|unk|>",
|
46 |
+
"use_default_system_prompt": false
|
47 |
+
}
|
adapter/checkpoint-309/trainer_state.json
ADDED
@@ -0,0 +1,2216 @@
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---
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library_name: peft
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base_model: /home/outscale/jamba
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4 |
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---
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5 |
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6 |
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# Model Card for Model ID
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8 |
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<!-- Provide a quick summary of what the model is/does. -->
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9 |
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10 |
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## Model Details
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### Model Description
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15 |
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16 |
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<!-- Provide a longer summary of what this model is. -->
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17 |
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18 |
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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22 |
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
|
24 |
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- **Language(s) (NLP):** [More Information Needed]
|
25 |
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- **License:** [More Information Needed]
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26 |
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- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
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|
28 |
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### Model Sources [optional]
|
29 |
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30 |
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
|
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- **Demo [optional]:** [More Information Needed]
|
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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42 |
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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43 |
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[More Information Needed]
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### Downstream Use [optional]
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48 |
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
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[More Information Needed]
|
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### Out-of-Scope Use
|
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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|
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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|
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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|
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
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|
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## How to Get Started with the Model
|
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|
72 |
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Use the code below to get started with the model.
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|
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[More Information Needed]
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## Training Details
|
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+
|
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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|
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|
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|
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## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
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+
|
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[More Information Needed]
|
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+
|
141 |
+
## Environmental Impact
|
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+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
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+
- **Cloud Provider:** [More Information Needed]
|
150 |
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- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
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+
## Technical Specifications [optional]
|
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|
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### Model Architecture and Objective
|
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|
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[More Information Needed]
|
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|
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### Compute Infrastructure
|
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|
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[More Information Needed]
|
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|
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#### Hardware
|
164 |
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[More Information Needed]
|
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|
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#### Software
|
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[More Information Needed]
|
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+
|
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+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
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+
**BibTeX:**
|
176 |
+
|
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[More Information Needed]
|
178 |
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|
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**APA:**
|
180 |
+
|
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[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
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|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
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+
|
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+
[More Information Needed]
|
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|
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## More Information [optional]
|
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+
|
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[More Information Needed]
|
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+
|
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+
## Model Card Authors [optional]
|
194 |
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|
195 |
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[More Information Needed]
|
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|
197 |
+
## Model Card Contact
|
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|
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[More Information Needed]
|
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|
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|
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### Framework versions
|
203 |
+
|
204 |
+
- PEFT 0.10.0
|
adapter/checkpoint-610/adapter_config.json
ADDED
@@ -0,0 +1,39 @@
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "/home/outscale/jamba",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": null,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 16,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 8,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"router",
|
24 |
+
"x_proj",
|
25 |
+
"down_proj",
|
26 |
+
"gate_proj",
|
27 |
+
"out_proj",
|
28 |
+
"o_proj",
|
29 |
+
"dt_proj",
|
30 |
+
"in_proj",
|
31 |
+
"q_proj",
|
32 |
+
"k_proj",
|
33 |
+
"up_proj",
|
34 |
+
"v_proj"
|
35 |
+
],
|
36 |
+
"task_type": "CAUSAL_LM",
|
37 |
+
"use_dora": false,
|
38 |
+
"use_rslora": false
|
39 |
+
}
|
adapter/checkpoint-610/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:92814b1d9841b5a27426d948fc5bfab196dbc067459b2c5d9714af979f8a3167
|
3 |
+
size 531607760
|
adapter/checkpoint-610/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c87570b0a66405c830a17afe885de5a71a68ad9fd7dfc0d7022d66dc161cfbd1
|
3 |
+
size 269103876
|
adapter/checkpoint-610/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:535e104a2b68b7cdeecb57ba0e55c5b1dc8859c785bbf45126972366c82d365d
|
3 |
+
size 14244
|
adapter/checkpoint-610/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:68ea5a94472a10e843975bff98661b17beb8ed9f7d710bd4ff5ce5243d202470
|
3 |
+
size 1064
|
adapter/checkpoint-610/special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<|startoftext|>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
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"content": "<|endoftext|>",
|
11 |
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"lstrip": false,
|
12 |
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|
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|
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|
15 |
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|
16 |
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"pad_token": {
|
17 |
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"content": "<|pad|>",
|
18 |
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"lstrip": false,
|
19 |
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"normalized": false,
|
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"rstrip": false,
|
21 |
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"single_word": false
|
22 |
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},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<|unk|>",
|
25 |
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|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
adapter/checkpoint-610/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
adapter/checkpoint-610/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:02fd6530b8ede0eedd8e509fcab32da7b1dd04c8119f8498c787100f13112713
|
3 |
+
size 1124742
|
adapter/checkpoint-610/tokenizer_config.json
ADDED
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<|pad|>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<|startoftext|>",
|
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+
"lstrip": false,
|
16 |
+
"normalized": false,
|
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+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "<|endoftext|>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"3": {
|
30 |
+
"content": "<|unk|>",
|
31 |
+
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|
32 |
+
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|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
}
|
37 |
+
},
|
38 |
+
"bos_token": "<|startoftext|>",
|
39 |
+
"clean_up_tokenization_spaces": false,
|
40 |
+
"eos_token": "<|endoftext|>",
|
41 |
+
"model_max_length": 1000000000000000019884624838656,
|
42 |
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|
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"spaces_between_special_tokens": false,
|
44 |
+
"tokenizer_class": "LlamaTokenizer",
|
45 |
+
"unk_token": "<|unk|>",
|
46 |
+
"use_default_system_prompt": false
|
47 |
+
}
|
adapter/checkpoint-610/trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|