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- .gitattributes +21 -0
- adapter_model.safetensors +3 -0
- checkpoint-115/adapter_model.safetensors +3 -0
- checkpoint-115/optimizer.pt +3 -0
- checkpoint-115/rng_state_0.pth +3 -0
- checkpoint-115/rng_state_1.pth +3 -0
- checkpoint-115/scheduler.pt +3 -0
- checkpoint-115/tokenizer.json +3 -0
- checkpoint-115/training_args.bin +3 -0
- checkpoint-138/adapter_model.safetensors +3 -0
- checkpoint-138/rng_state_0.pth +3 -0
- checkpoint-138/rng_state_1.pth +3 -0
- checkpoint-138/scheduler.pt +3 -0
- checkpoint-138/tokenizer.json +3 -0
- checkpoint-138/training_args.bin +3 -0
- checkpoint-161/README.md +202 -0
- checkpoint-161/adapter_config.json +39 -0
- checkpoint-161/adapter_model.safetensors +3 -0
- checkpoint-161/added_tokens.json +24 -0
- checkpoint-161/merges.txt +0 -0
- checkpoint-161/rng_state_0.pth +3 -0
- checkpoint-161/rng_state_1.pth +3 -0
- checkpoint-161/scheduler.pt +3 -0
- checkpoint-161/special_tokens_map.json +31 -0
- checkpoint-161/tokenizer.json +3 -0
- checkpoint-161/tokenizer_config.json +209 -0
- checkpoint-161/trainer_state.json +258 -0
- checkpoint-161/training_args.bin +3 -0
- checkpoint-161/vocab.json +0 -0
- checkpoint-184/optimizer.pt +3 -0
- checkpoint-184/rng_state_0.pth +3 -0
- checkpoint-184/rng_state_1.pth +3 -0
- checkpoint-184/scheduler.pt +3 -0
- checkpoint-184/tokenizer.json +3 -0
- checkpoint-184/training_args.bin +3 -0
- checkpoint-207/adapter_model.safetensors +3 -0
- checkpoint-207/rng_state_0.pth +3 -0
- checkpoint-207/rng_state_1.pth +3 -0
- checkpoint-207/scheduler.pt +3 -0
- checkpoint-207/tokenizer.json +3 -0
- checkpoint-207/training_args.bin +3 -0
- checkpoint-23/adapter_model.safetensors +3 -0
- checkpoint-23/rng_state_0.pth +3 -0
- checkpoint-23/rng_state_1.pth +3 -0
- checkpoint-23/scheduler.pt +3 -0
- checkpoint-23/tokenizer.json +3 -0
- checkpoint-23/training_args.bin +3 -0
- checkpoint-230/adapter_model.safetensors +3 -0
- checkpoint-230/rng_state_0.pth +3 -0
- checkpoint-230/rng_state_1.pth +3 -0
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checkpoint-161/README.md
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---
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base_model: Qwen/Qwen2.5-Coder-14B-Instruct
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library_name: peft
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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]
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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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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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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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[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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[More Information Needed]
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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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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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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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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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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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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]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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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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+
|
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 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.15.0
|
checkpoint-161/adapter_config.json
ADDED
@@ -0,0 +1,39 @@
|
|
|
|
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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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"loftq_config": {},
|
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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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|
25 |
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|
26 |
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|
27 |
+
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|
28 |
+
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|
29 |
+
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|
30 |
+
"k_proj",
|
31 |
+
"o_proj",
|
32 |
+
"v_proj",
|
33 |
+
"up_proj"
|
34 |
+
],
|
35 |
+
"task_type": "CAUSAL_LM",
|
36 |
+
"trainable_token_indices": null,
|
37 |
+
"use_dora": false,
|
38 |
+
"use_rslora": false
|
39 |
+
}
|
checkpoint-161/adapter_model.safetensors
ADDED
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|
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|
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|
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|
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|
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|
checkpoint-161/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
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checkpoint-161/rng_state_0.pth
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checkpoint-161/scheduler.pt
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checkpoint-161/special_tokens_map.json
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|
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|
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|
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|
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checkpoint-161/tokenizer.json
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