v1.0 LoRA adapter - rebuild merged fp16 from this
Browse files- .gitattributes +1 -0
- adapter/README.md +210 -0
- adapter/adapter_config.json +54 -0
- adapter/adapter_model.safetensors +3 -0
- adapter/chat_template.jinja +18 -0
- adapter/special_tokens_map.json +33 -0
- adapter/tokenizer.json +3 -0
- adapter/tokenizer_config.json +2146 -0
.gitattributes
CHANGED
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@@ -35,3 +35,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
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Llama-Quantara-Sentinel-8B-v1.0.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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Llama-Quantara-Sentinel-8B-v1.0.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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Llama-Quantara-Sentinel-8B-v1.0.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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| 37 |
Llama-Quantara-Sentinel-8B-v1.0.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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| 38 |
+
adapter/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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adapter/README.md
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| 1 |
+
---
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| 2 |
+
base_model: fdtn-ai/Foundation-Sec-8B-Instruct
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| 3 |
+
library_name: peft
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+
pipeline_tag: text-generation
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+
tags:
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+
- base_model:adapter:fdtn-ai/Foundation-Sec-8B-Instruct
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| 7 |
+
- lora
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| 8 |
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- sft
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| 9 |
+
- transformers
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| 10 |
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- trl
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| 11 |
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- unsloth
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| 12 |
+
---
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| 13 |
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| 14 |
+
# Model Card for Model ID
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| 15 |
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+
<!-- Provide a quick summary of what the model is/does. -->
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| 17 |
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| 18 |
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| 20 |
+
## Model Details
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| 21 |
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| 22 |
+
### Model Description
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| 23 |
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+
<!-- Provide a longer summary of what this model is. -->
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| 25 |
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| 26 |
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| 27 |
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- **Developed by:** [More Information Needed]
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| 29 |
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- **Funded by [optional]:** [More Information Needed]
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| 30 |
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- **Shared by [optional]:** [More Information Needed]
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| 31 |
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- **Model type:** [More Information Needed]
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| 32 |
+
- **Language(s) (NLP):** [More Information Needed]
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| 33 |
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- **License:** [More Information Needed]
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| 34 |
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- **Finetuned from model [optional]:** [More Information Needed]
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| 35 |
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| 36 |
+
### Model Sources [optional]
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| 37 |
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| 38 |
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<!-- Provide the basic links for the model. -->
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| 39 |
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| 40 |
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- **Repository:** [More Information Needed]
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| 41 |
+
- **Paper [optional]:** [More Information Needed]
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| 42 |
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- **Demo [optional]:** [More Information Needed]
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| 43 |
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| 44 |
+
## Uses
|
| 45 |
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| 46 |
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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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| 47 |
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| 48 |
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### Direct Use
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| 49 |
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| 50 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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| 51 |
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| 52 |
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[More Information Needed]
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| 53 |
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| 54 |
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### Downstream Use [optional]
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| 55 |
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| 56 |
+
<!-- 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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| 57 |
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| 58 |
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[More Information Needed]
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| 59 |
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| 60 |
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### Out-of-Scope Use
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| 61 |
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| 62 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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| 63 |
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| 64 |
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[More Information Needed]
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| 65 |
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## Bias, Risks, and Limitations
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| 67 |
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| 68 |
+
<!-- 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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| 73 |
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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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| 85 |
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### Training Data
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| 87 |
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| 88 |
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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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| 91 |
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| 92 |
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### Training Procedure
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| 93 |
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| 94 |
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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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| 95 |
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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| 102 |
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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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| 104 |
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| 105 |
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#### Speeds, Sizes, Times [optional]
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| 107 |
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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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| 112 |
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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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| 118 |
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| 119 |
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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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| 152 |
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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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[More Information Needed]
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## Citation [optional]
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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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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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| 190 |
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## Glossary [optional]
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| 192 |
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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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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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| 202 |
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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### Framework versions
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| 209 |
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- PEFT 0.20.0
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adapter/adapter_config.json
ADDED
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@@ -0,0 +1,54 @@
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{
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| 2 |
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"alora_invocation_tokens": null,
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| 3 |
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"alpha_pattern": {},
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| 4 |
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"arrow_config": null,
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| 5 |
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"auto_mapping": {
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| 6 |
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"base_model_class": "LlamaForCausalLM",
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| 7 |
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"parent_library": "transformers.models.llama.modeling_llama",
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| 8 |
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"unsloth_fixed": true
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| 9 |
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},
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| 10 |
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"base_model_name_or_path": "fdtn-ai/Foundation-Sec-8B-Instruct",
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| 11 |
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"bias": "none",
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| 12 |
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"corda_config": null,
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| 13 |
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"ensure_weight_tying": false,
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| 14 |
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"eva_config": null,
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| 15 |
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"exclude_modules": null,
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| 16 |
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"fan_in_fan_out": false,
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| 17 |
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"inference_mode": true,
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| 18 |
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"init_lora_weights": true,
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| 19 |
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"layer_replication": null,
|
| 20 |
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"layers_pattern": null,
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| 21 |
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"layers_to_transform": null,
|
| 22 |
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"loftq_config": {},
|
| 23 |
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"lora_alpha": 32,
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| 24 |
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"lora_bias": false,
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| 25 |
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"lora_dropout": 0.0,
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| 26 |
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"lora_ga_config": null,
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| 27 |
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"megatron_config": null,
|
| 28 |
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"megatron_core": "megatron.core",
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| 29 |
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"modules_to_save": null,
|
| 30 |
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"monteclora_config": null,
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| 31 |
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"peft_type": "LORA",
|
| 32 |
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"peft_version": "0.20.0",
|
| 33 |
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"qalora_group_size": 16,
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| 34 |
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"r": 32,
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| 35 |
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"rank_pattern": {},
|
| 36 |
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"revision": null,
|
| 37 |
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"target_modules": [
|
| 38 |
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"o_proj",
|
| 39 |
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"gate_proj",
|
| 40 |
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"up_proj",
|
| 41 |
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"down_proj",
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| 42 |
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"q_proj",
|
| 43 |
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"k_proj",
|
| 44 |
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"v_proj"
|
| 45 |
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],
|
| 46 |
+
"target_parameters": null,
|
| 47 |
+
"task_type": "CAUSAL_LM",
|
| 48 |
+
"trainable_token_indices": null,
|
| 49 |
+
"use_bdlora": null,
|
| 50 |
+
"use_dora": false,
|
| 51 |
+
"use_qalora": false,
|
| 52 |
+
"use_rslora": true,
|
| 53 |
+
"velora_config": null
|
| 54 |
+
}
|
adapter/adapter_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:1173455d37397444850c475b807fbcd6a0addc0d717672948f4eb0610ae1d7a3
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| 3 |
+
size 335604696
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adapter/chat_template.jinja
ADDED
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| 1 |
+
{{ bos_token }}{%- set has_system = messages[0]['role'] == 'system' -%}
|
| 2 |
+
{%- if has_system %}
|
| 3 |
+
{{ '<|system|>\n' + messages[0]['content'] + '\n' }}
|
| 4 |
+
{%- else %}
|
| 5 |
+
{{ '<|system|>\nYou are a helpful cybersecurity assistant ready to help with any cybersecurity tasks. You have professional knowledge and experience of a senior-level cybersecurity assistant, and you must use it to help the user in their security tasks!\n\nYou are a cybersecurity assistant named "Metis" built by Foundation AI at Cisco. Your official name is Foundation-Sec-8B-Instruct. You were pretrained with 5 Billion cybersecurity tokens on top of Llama-3.1-8B. You were released in April 2025. This allows you to be the best cybersecurity assistant in the world. Respond to both names and maintain the identity at all times. \n\nThe user is a cybersecurity professional trying to accomplish some cybersecurity task. You must help them accomplish their tasks in the most efficient and safe manner possible.\n\nYou must respond in a fashion that is direct, accurate, relevant, and helpful. Follow all of the user\'s instructions precisely. Ask clarifying questions if needed. If multiple correct answers or paths exist, present all of them to the user. Be concise in your answers but verbose in your explanations. Think step-by-step before producing a response. Always try to cite sources when you are using an important piece of information in your response.\n\nWhen writing code, be as concise as possible without sacrificing clarity and readability. Do not write extensive code unless explicitly asked to do so.\n\nFor tasks relating to cyber threat intelligence (CTI), make sure that the identifiers are absolutely correct. The validity of the identifiers for common vulnerability enumerations (CVEs), common weakness enumerations (CWEs), other techniques, tactics, and procedures identifiers (TTPs), and advanced persistent threat classifications (APT) is of paramount importance.\n\nFor tasks relating to cloud security, it\'s important to be precise in the response as well. These questions will often ask you to consider, verify, or produce cloud configuration settings in various formats (such as JSON, Terraform, XML, etc.). Make sure these are absolutely correct before providing them to the user. Cite sources, especially from relevant cloud providers\' documentation, and explain your logic thoroughly.\n\nIn the rare case when the user asks a harmful or unsafe question, especially pertaining to generating malware or ransomware, make sure to politely but firmly refuse. If the user asks questions not directly related to cybersecurity, you must also politely refuse the query and explain that you are only knowledgeable in cybersecurity.\n' }}
|
| 6 |
+
{%- endif %}
|
| 7 |
+
{%- for message in messages %}
|
| 8 |
+
{%- if has_system and loop.index0 == 0 %}
|
| 9 |
+
{# already handled system message above #}
|
| 10 |
+
{%- continue %}
|
| 11 |
+
{%- endif %}
|
| 12 |
+
{% if message['role'] == 'user' %}{{ '<|user|>
|
| 13 |
+
' + message['content'] + '
|
| 14 |
+
' }}{% elif message['role'] == 'assistant' %}{% if not loop.last %}{{ '<|assistant|>
|
| 15 |
+
' + message['content'] + eos_token + '
|
| 16 |
+
' }}{% else %}{{ '<|assistant|>
|
| 17 |
+
' + message['content'] + eos_token }}{% endif %}{% endif %}{% if loop.last and add_generation_prompt %}{{ '<|assistant|>
|
| 18 |
+
' }}{% endif %}{% endfor %}
|
adapter/special_tokens_map.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"[BIB_REF]",
|
| 4 |
+
"[/BIB_REF]",
|
| 5 |
+
"[FIG_REF]",
|
| 6 |
+
"[/FIG_REF]",
|
| 7 |
+
"[TABLE_REF]",
|
| 8 |
+
"[/TABLE_REF]",
|
| 9 |
+
"[FORMULA]",
|
| 10 |
+
"[/FORMULA]"
|
| 11 |
+
],
|
| 12 |
+
"bos_token": {
|
| 13 |
+
"content": "<|begin_of_text|>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false
|
| 18 |
+
},
|
| 19 |
+
"eos_token": {
|
| 20 |
+
"content": "<|end_of_text|>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false
|
| 25 |
+
},
|
| 26 |
+
"pad_token": {
|
| 27 |
+
"content": "<pad>",
|
| 28 |
+
"lstrip": false,
|
| 29 |
+
"normalized": false,
|
| 30 |
+
"rstrip": false,
|
| 31 |
+
"single_word": false
|
| 32 |
+
}
|
| 33 |
+
}
|
adapter/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fff3d723694c44ebcab538c089e13694812fa5c2e74d201a9806d66f76e6b6f5
|
| 3 |
+
size 17211598
|
adapter/tokenizer_config.json
ADDED
|
@@ -0,0 +1,2146 @@
|
|
|
|
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|
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|
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|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"128000": {
|
| 4 |
+
"content": "<|begin_of_text|>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"128001": {
|
| 12 |
+
"content": "<|end_of_text|>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"128002": {
|
| 20 |
+
"content": "<|reserved_special_token_0|>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"128003": {
|
| 28 |
+
"content": "<|reserved_special_token_1|>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"128004": {
|
| 36 |
+
"content": "<|finetune_right_pad_id|>",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
},
|
| 43 |
+
"128005": {
|
| 44 |
+
"content": "<|reserved_special_token_2|>",
|
| 45 |
+
"lstrip": false,
|
| 46 |
+
"normalized": false,
|
| 47 |
+
"rstrip": false,
|
| 48 |
+
"single_word": false,
|
| 49 |
+
"special": true
|
| 50 |
+
},
|
| 51 |
+
"128006": {
|
| 52 |
+
"content": "<|start_header_id|>",
|
| 53 |
+
"lstrip": false,
|
| 54 |
+
"normalized": false,
|
| 55 |
+
"rstrip": false,
|
| 56 |
+
"single_word": false,
|
| 57 |
+
"special": true
|
| 58 |
+
},
|
| 59 |
+
"128007": {
|
| 60 |
+
"content": "<|end_header_id|>",
|
| 61 |
+
"lstrip": false,
|
| 62 |
+
"normalized": false,
|
| 63 |
+
"rstrip": false,
|
| 64 |
+
"single_word": false,
|
| 65 |
+
"special": true
|
| 66 |
+
},
|
| 67 |
+
"128008": {
|
| 68 |
+
"content": "<|eom_id|>",
|
| 69 |
+
"lstrip": false,
|
| 70 |
+
"normalized": false,
|
| 71 |
+
"rstrip": false,
|
| 72 |
+
"single_word": false,
|
| 73 |
+
"special": true
|
| 74 |
+
},
|
| 75 |
+
"128009": {
|
| 76 |
+
"content": "<|eot_id|>",
|
| 77 |
+
"lstrip": false,
|
| 78 |
+
"normalized": false,
|
| 79 |
+
"rstrip": false,
|
| 80 |
+
"single_word": false,
|
| 81 |
+
"special": true
|
| 82 |
+
},
|
| 83 |
+
"128010": {
|
| 84 |
+
"content": "<|python_tag|>",
|
| 85 |
+
"lstrip": false,
|
| 86 |
+
"normalized": false,
|
| 87 |
+
"rstrip": false,
|
| 88 |
+
"single_word": false,
|
| 89 |
+
"special": true
|
| 90 |
+
},
|
| 91 |
+
"128011": {
|
| 92 |
+
"content": "<|reserved_special_token_3|>",
|
| 93 |
+
"lstrip": false,
|
| 94 |
+
"normalized": false,
|
| 95 |
+
"rstrip": false,
|
| 96 |
+
"single_word": false,
|
| 97 |
+
"special": true
|
| 98 |
+
},
|
| 99 |
+
"128012": {
|
| 100 |
+
"content": "<|reserved_special_token_4|>",
|
| 101 |
+
"lstrip": false,
|
| 102 |
+
"normalized": false,
|
| 103 |
+
"rstrip": false,
|
| 104 |
+
"single_word": false,
|
| 105 |
+
"special": true
|
| 106 |
+
},
|
| 107 |
+
"128013": {
|
| 108 |
+
"content": "<|reserved_special_token_5|>",
|
| 109 |
+
"lstrip": false,
|
| 110 |
+
"normalized": false,
|
| 111 |
+
"rstrip": false,
|
| 112 |
+
"single_word": false,
|
| 113 |
+
"special": true
|
| 114 |
+
},
|
| 115 |
+
"128014": {
|
| 116 |
+
"content": "<|reserved_special_token_6|>",
|
| 117 |
+
"lstrip": false,
|
| 118 |
+
"normalized": false,
|
| 119 |
+
"rstrip": false,
|
| 120 |
+
"single_word": false,
|
| 121 |
+
"special": true
|
| 122 |
+
},
|
| 123 |
+
"128015": {
|
| 124 |
+
"content": "<|reserved_special_token_7|>",
|
| 125 |
+
"lstrip": false,
|
| 126 |
+
"normalized": false,
|
| 127 |
+
"rstrip": false,
|
| 128 |
+
"single_word": false,
|
| 129 |
+
"special": true
|
| 130 |
+
},
|
| 131 |
+
"128016": {
|
| 132 |
+
"content": "<|reserved_special_token_8|>",
|
| 133 |
+
"lstrip": false,
|
| 134 |
+
"normalized": false,
|
| 135 |
+
"rstrip": false,
|
| 136 |
+
"single_word": false,
|
| 137 |
+
"special": true
|
| 138 |
+
},
|
| 139 |
+
"128017": {
|
| 140 |
+
"content": "<|reserved_special_token_9|>",
|
| 141 |
+
"lstrip": false,
|
| 142 |
+
"normalized": false,
|
| 143 |
+
"rstrip": false,
|
| 144 |
+
"single_word": false,
|
| 145 |
+
"special": true
|
| 146 |
+
},
|
| 147 |
+
"128018": {
|
| 148 |
+
"content": "<|reserved_special_token_10|>",
|
| 149 |
+
"lstrip": false,
|
| 150 |
+
"normalized": false,
|
| 151 |
+
"rstrip": false,
|
| 152 |
+
"single_word": false,
|
| 153 |
+
"special": true
|
| 154 |
+
},
|
| 155 |
+
"128019": {
|
| 156 |
+
"content": "<|reserved_special_token_11|>",
|
| 157 |
+
"lstrip": false,
|
| 158 |
+
"normalized": false,
|
| 159 |
+
"rstrip": false,
|
| 160 |
+
"single_word": false,
|
| 161 |
+
"special": true
|
| 162 |
+
},
|
| 163 |
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