Upload folder using huggingface_hub
Browse files- checkpoint-400/.ipynb_checkpoints/adapter_config-checkpoint.json +37 -0
- checkpoint-450/README.md +202 -0
- checkpoint-450/adapter_config.json +37 -0
- checkpoint-450/adapter_model.safetensors +3 -0
- checkpoint-450/optimizer.pt +3 -0
- checkpoint-450/rng_state.pth +3 -0
- checkpoint-450/scheduler.pt +3 -0
- checkpoint-450/trainer_state.json +3183 -0
- checkpoint-450/training_args.bin +3 -0
checkpoint-400/.ipynb_checkpoints/adapter_config-checkpoint.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": "rinna/llama-3-youko-8b",
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"bias": "none",
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"fan_in_fan_out": false,
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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": 32,
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"lora_dropout": 0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": [
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"embed_tokens",
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"lm_head"
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],
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"peft_type": "LORA",
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"r": 128,
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"rank_pattern": {},
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"revision": "unsloth",
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"target_modules": [
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"o_proj",
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"k_proj",
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"v_proj",
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"gate_proj",
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"down_proj",
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"q_proj",
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"up_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": true
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}
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checkpoint-450/README.md
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---
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library_name: peft
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base_model: rinna/llama-3-youko-8b
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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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|
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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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|
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[More Information Needed]
|
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|
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### Downstream Use [optional]
|
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|
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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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|
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[More Information Needed]
|
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+
|
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+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
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+
|
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+
[More Information Needed]
|
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+
|
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## Bias, Risks, and Limitations
|
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+
|
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+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
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|
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[More Information Needed]
|
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|
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### Recommendations
|
65 |
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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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|
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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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|
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## Training Details
|
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|
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### Training Data
|
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|
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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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|
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### Training Procedure
|
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|
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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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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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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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|
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## Evaluation
|
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|
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<!-- This section describes the evaluation protocols and provides the results. -->
|
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|
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### Testing Data, Factors & Metrics
|
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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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|
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[More Information Needed]
|
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|
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#### Metrics
|
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|
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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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|
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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|
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
|
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|
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## Environmental Impact
|
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|
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
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|
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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).
|
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|
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- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
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- **Cloud Provider:** [More Information Needed]
|
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- **Compute Region:** [More Information Needed]
|
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- **Carbon Emitted:** [More Information Needed]
|
152 |
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|
153 |
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## Technical Specifications [optional]
|
154 |
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|
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### Model Architecture and Objective
|
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[More Information Needed]
|
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|
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
|
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## Citation [optional]
|
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|
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
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|
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**BibTeX:**
|
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|
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[More Information Needed]
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|
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**APA:**
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|
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[More Information Needed]
|
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|
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## Glossary [optional]
|
184 |
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|
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<!-- 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]
|
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|
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[More Information Needed]
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|
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## Model Card Contact
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|
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[More Information Needed]
|
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### Framework versions
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- PEFT 0.11.1
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checkpoint-450/adapter_config.json
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{
|
2 |
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"alpha_pattern": {},
|
3 |
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"auto_mapping": null,
|
4 |
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"base_model_name_or_path": "rinna/llama-3-youko-8b",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
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"loftq_config": {},
|
13 |
+
"lora_alpha": 32,
|
14 |
+
"lora_dropout": 0,
|
15 |
+
"megatron_config": null,
|
16 |
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"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": [
|
18 |
+
"lm_head",
|
19 |
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"embed_tokens"
|
20 |
+
],
|
21 |
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"peft_type": "LORA",
|
22 |
+
"r": 128,
|
23 |
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"rank_pattern": {},
|
24 |
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"revision": "unsloth",
|
25 |
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"target_modules": [
|
26 |
+
"gate_proj",
|
27 |
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"q_proj",
|
28 |
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"up_proj",
|
29 |
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"o_proj",
|
30 |
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"v_proj",
|
31 |
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"k_proj",
|
32 |
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"down_proj"
|
33 |
+
],
|
34 |
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"task_type": "CAUSAL_LM",
|
35 |
+
"use_dora": false,
|
36 |
+
"use_rslora": true
|
37 |
+
}
|
checkpoint-450/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:0384c5c3120e71617137430ae1ad84c1f0589151e56a0a9e440bafcf19a85c39
|
3 |
+
size 11849545016
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checkpoint-450/optimizer.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:ffe5781e6fff378ec35e80d1c5d22b267e2ae1da7eeb3dcc281016542c1f6bcf
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size 2779665054
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checkpoint-450/rng_state.pth
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:7458c20077adf99ba6aa753ec2347f8d0baf4581fe9276106300d448ed7ee413
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3 |
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size 14244
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checkpoint-450/scheduler.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:dfdbde9bcd4c10317c2e23e245ba40e9a4fe15085b41a95cd024379725aae288
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3 |
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size 1064
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checkpoint-450/trainer_state.json
ADDED
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