Upload folder using huggingface_hub
Browse files- config.json +26 -0
- generation_config.json +10 -0
- loftq_init/README.md +208 -0
- loftq_init/adapter_config.json +28 -0
- loftq_init/adapter_model.safetensors +3 -0
- pytorch_model-00001-of-00002.bin +3 -0
- pytorch_model-00002-of-00002.bin +3 -0
- pytorch_model.bin.index.json +330 -0
- special_tokens_map.json +23 -0
- tokenizer.model +3 -0
- tokenizer_config.json +35 -0
config.json
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{
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"_name_or_path": "meta-llama/Llama-2-7b-hf",
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"architectures": [
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"LlamaForCausalLM"
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],
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 32,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.31.0",
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"use_cache": true,
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"vocab_size": 32000
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}
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generation_config.json
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{
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"bos_token_id": 1,
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"do_sample": true,
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"eos_token_id": 2,
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"max_length": 4096,
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"pad_token_id": 0,
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.31.0"
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}
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loftq_init/README.md
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---
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library_name: peft
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base_model: meta-llama/Llama-2-7b-hf
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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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|
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## Uses
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|
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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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|
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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]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
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+
[More Information Needed]
|
51 |
+
|
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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. -->
|
55 |
+
|
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+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
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+
[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 |
+
|
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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
|
79 |
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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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|
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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
|
110 |
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|
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<!-- This should link to a Dataset Card if possible. -->
|
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|
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[More Information Needed]
|
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|
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#### Factors
|
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|
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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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|
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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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[More Information Needed]
|
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|
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### Results
|
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|
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[More Information Needed]
|
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#### Summary
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## Model Examination [optional]
|
136 |
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|
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<!-- Relevant interpretability work for the model goes here -->
|
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|
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[More Information Needed]
|
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|
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## 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 |
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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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|
147 |
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- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
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- **Compute Region:** [More Information Needed]
|
151 |
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- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
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### Model Architecture and Objective
|
156 |
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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
|
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|
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[More Information Needed]
|
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#### Software
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[More Information Needed]
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|
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## Citation [optional]
|
172 |
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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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|
185 |
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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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## 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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## Training procedure
|
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|
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|
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### Framework versions
|
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|
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|
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- PEFT 0.6.3.dev0
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loftq_init/adapter_config.json
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{
|
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"alpha_pattern": {},
|
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"auto_mapping": null,
|
4 |
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"base_model_name_or_path": "/ivi/ilps/personal/bliao/qlora/09_ptq/model_zoo_7b/lora_lr0.001wd0.1_lwc_lr0.005wd0.1_len1024/Llama-2-7b-hf-3bit-64rank-0.1dropout",
|
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"bias": "none",
|
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"fan_in_fan_out": false,
|
7 |
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"inference_mode": true,
|
8 |
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"init_lora_weights": true,
|
9 |
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"layers_pattern": null,
|
10 |
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"layers_to_transform": null,
|
11 |
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"lora_alpha": 64.0,
|
12 |
+
"lora_dropout": 0.1,
|
13 |
+
"modules_to_save": null,
|
14 |
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"peft_type": "LORA",
|
15 |
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"r": 64,
|
16 |
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"rank_pattern": {},
|
17 |
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"revision": null,
|
18 |
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"target_modules": [
|
19 |
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"o_proj",
|
20 |
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"down_proj",
|
21 |
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"v_proj",
|
22 |
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"k_proj",
|
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"up_proj",
|
24 |
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"q_proj",
|
25 |
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"gate_proj"
|
26 |
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],
|
27 |
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"task_type": "CAUSAL_LM"
|
28 |
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}
|
loftq_init/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:959a37829c8ee1313f3bf89bd0adf123d418ad16c0de21e479fd7494a7c9dbd6
|
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+
size 639691872
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pytorch_model-00001-of-00002.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:8b573b3d85781706fa69050b8128598c3f6769f5cc0d4533ecd74527bc3151be
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size 9976637950
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pytorch_model-00002-of-00002.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:001709e92c38d2f82a66c25f757c2daf0f970cd80dbcd08e7511dd541f99850d
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size 3500316627
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pytorch_model.bin.index.json
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special_tokens_map.json
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"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"unk_token": {
|
17 |
+
"content": "<unk>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
}
|
23 |
+
}
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
tokenizer_config.json
ADDED
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"bos_token": {
|
5 |
+
"__type": "AddedToken",
|
6 |
+
"content": "<s>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false
|
11 |
+
},
|
12 |
+
"clean_up_tokenization_spaces": false,
|
13 |
+
"eos_token": {
|
14 |
+
"__type": "AddedToken",
|
15 |
+
"content": "</s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false
|
20 |
+
},
|
21 |
+
"legacy": false,
|
22 |
+
"model_max_length": 1000000000000000019884624838656,
|
23 |
+
"pad_token": null,
|
24 |
+
"padding_side": "right",
|
25 |
+
"sp_model_kwargs": {},
|
26 |
+
"tokenizer_class": "LlamaTokenizer",
|
27 |
+
"unk_token": {
|
28 |
+
"__type": "AddedToken",
|
29 |
+
"content": "<unk>",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": false,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false
|
34 |
+
}
|
35 |
+
}
|