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.gitattributes

@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+checkpoint-50/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-66/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,108 @@
+---
+library_name: peft
+license: llama3.1
+base_model: unsloth/Meta-Llama-3.1-8B-Instruct
+tags:
+- axolotl
+- base_model:adapter:unsloth/Meta-Llama-3.1-8B-Instruct
+- lora
+- transformers
+datasets:
+- mx003/cve
+pipeline_tag: text-generation
+model-index:
+- name: outputs/mymodel
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.13.0.dev0`
+```yaml
+adapter: lora
+base_model: unsloth/Meta-Llama-3.1-8B-Instruct
+bf16: true
+fp16: false
+
+datasets:
+  - path: mx003/cve
+    type: chat_template
+    field_messages: messages
+
+lora_r: 32
+lora_alpha: 64
+lora_dropout: 0.05
+lora_target_modules:
+  - q_proj
+  - v_proj
+  - k_proj
+  - o_proj
+  - gate_proj
+  - down_proj
+  - up_proj
+
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+micro_batch_size: 2
+num_epochs: 3
+learning_rate: 0.0002
+optimizer: adamw_torch
+train_on_inputs: false
+group_by_length: true
+
+output_dir: ./outputs/mymodel
+sequence_len: 4096
+save_steps: 50
+flash_attention: true
+sample_packing: true
+```
+
+</details><br>
+
+# outputs/mymodel
+
+This model is a fine-tuned version of [unsloth/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/unsloth/Meta-Llama-3.1-8B-Instruct) on the mx003/cve dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 2
+- training_steps: 66
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.17.1
+- Transformers 4.57.0
+- Pytorch 2.7.1+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.1

adapter_config.json

@@ -0,0 +1,42 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/Meta-Llama-3.1-8B-Instruct",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "qalora_group_size": 16,
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "o_proj",
+    "k_proj",
+    "q_proj",
+    "v_proj",
+    "gate_proj",
+    "up_proj"
+  ],
+  "target_parameters": [],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0b29b9d0a668764dffb45f8432088e4520b851d56e6fce6f54931c1f4d9e2f94
+size 335604696

chat_template.jinja

@@ -0,0 +1,109 @@
+{{- bos_token }}
+{%- if custom_tools is defined %}
+    {%- set tools = custom_tools %}
+{%- endif %}
+{%- if not tools_in_user_message is defined %}
+    {%- set tools_in_user_message = true %}
+{%- endif %}
+{%- if not date_string is defined %}
+    {%- set date_string = "26 Jul 2024" %}
+{%- endif %}
+{%- if not tools is defined %}
+    {%- set tools = none %}
+{%- endif %}
+
+{#- This block extracts the system message, so we can slot it into the right place. #}
+{%- if messages[0]['role'] == 'system' %}
+    {%- set system_message = messages[0]['content']|trim %}
+    {%- set messages = messages[1:] %}
+{%- else %}
+    {%- set system_message = "" %}
+{%- endif %}
+
+{#- System message + builtin tools #}
+{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
+{%- if builtin_tools is defined or tools is not none %}
+    {{- "Environment: ipython\n" }}
+{%- endif %}
+{%- if builtin_tools is defined %}
+    {{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "\n\n"}}
+{%- endif %}
+{{- "Cutting Knowledge Date: December 2023\n" }}
+{{- "Today Date: " + date_string + "\n\n" }}
+{%- if tools is not none and not tools_in_user_message %}
+    {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+{%- endif %}
+{{- system_message }}
+{{- "<|eot_id|>" }}
+
+{#- Custom tools are passed in a user message with some extra guidance #}
+{%- if tools_in_user_message and not tools is none %}
+    {#- Extract the first user message so we can plug it in here #}
+    {%- if messages | length != 0 %}
+        {%- set first_user_message = messages[0]['content']|trim %}
+        {%- set messages = messages[1:] %}
+    {%- else %}
+        {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
+{%- endif %}
+    {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
+    {{- "Given the following functions, please respond with a JSON for a function call " }}
+    {{- "with its proper arguments that best answers the given prompt.\n\n" }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+    {{- first_user_message + "<|eot_id|>"}}
+{%- endif %}
+
+{%- for message in messages %}
+    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
+        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
+    {%- elif 'tool_calls' in message %}
+        {%- if not message.tool_calls|length == 1 %}
+            {{- raise_exception("This model only supports single tool-calls at once!") }}
+        {%- endif %}
+        {%- set tool_call = message.tool_calls[0].function %}
+        {%- if builtin_tools is defined and tool_call.name in builtin_tools %}
+            {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
+            {{- "<|python_tag|>" + tool_call.name + ".call(" }}
+            {%- for arg_name, arg_val in tool_call.arguments | items %}
+                {{- arg_name + '="' + arg_val + '"' }}
+                {%- if not loop.last %}
+                    {{- ", " }}
+                {%- endif %}
+                {%- endfor %}
+            {{- ")" }}
+        {%- else  %}
+            {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
+            {{- '{"name": "' + tool_call.name + '", ' }}
+            {{- '"parameters": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- "}" }}
+        {%- endif %}
+        {%- if builtin_tools is defined %}
+            {#- This means we're in ipython mode #}
+            {{- "<|eom_id|>" }}
+        {%- else %}
+            {{- "<|eot_id|>" }}
+        {%- endif %}
+    {%- elif message.role == "tool" or message.role == "ipython" %}
+        {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
+        {%- if message.content is mapping or message.content is iterable %}
+            {{- message.content | tojson }}
+        {%- else %}
+            {{- message.content }}
+        {%- endif %}
+        {{- "<|eot_id|>" }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
+{%- endif %}

checkpoint-50/README.md

@@ -0,0 +1,208 @@
+---
+base_model: unsloth/Meta-Llama-3.1-8B-Instruct
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- axolotl
+- base_model:adapter:unsloth/Meta-Llama-3.1-8B-Instruct
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- 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. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.17.1

checkpoint-50/adapter_config.json

@@ -0,0 +1,42 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/Meta-Llama-3.1-8B-Instruct",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "qalora_group_size": 16,
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "o_proj",
+    "k_proj",
+    "q_proj",
+    "v_proj",
+    "gate_proj",
+    "up_proj"
+  ],
+  "target_parameters": [],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

checkpoint-50/adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cb070da9580cae175f50149d5dbeb13abeb7f382241509169c9724ea85b1c794
+size 335604696

checkpoint-50/chat_template.jinja

@@ -0,0 +1,109 @@
+{{- bos_token }}
+{%- if custom_tools is defined %}
+    {%- set tools = custom_tools %}
+{%- endif %}
+{%- if not tools_in_user_message is defined %}
+    {%- set tools_in_user_message = true %}
+{%- endif %}
+{%- if not date_string is defined %}
+    {%- set date_string = "26 Jul 2024" %}
+{%- endif %}
+{%- if not tools is defined %}
+    {%- set tools = none %}
+{%- endif %}
+
+{#- This block extracts the system message, so we can slot it into the right place. #}
+{%- if messages[0]['role'] == 'system' %}
+    {%- set system_message = messages[0]['content']|trim %}
+    {%- set messages = messages[1:] %}
+{%- else %}
+    {%- set system_message = "" %}
+{%- endif %}
+
+{#- System message + builtin tools #}
+{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
+{%- if builtin_tools is defined or tools is not none %}
+    {{- "Environment: ipython\n" }}
+{%- endif %}
+{%- if builtin_tools is defined %}
+    {{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "\n\n"}}
+{%- endif %}
+{{- "Cutting Knowledge Date: December 2023\n" }}
+{{- "Today Date: " + date_string + "\n\n" }}
+{%- if tools is not none and not tools_in_user_message %}
+    {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+{%- endif %}
+{{- system_message }}
+{{- "<|eot_id|>" }}
+
+{#- Custom tools are passed in a user message with some extra guidance #}
+{%- if tools_in_user_message and not tools is none %}
+    {#- Extract the first user message so we can plug it in here #}
+    {%- if messages | length != 0 %}
+        {%- set first_user_message = messages[0]['content']|trim %}
+        {%- set messages = messages[1:] %}
+    {%- else %}
+        {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
+{%- endif %}
+    {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
+    {{- "Given the following functions, please respond with a JSON for a function call " }}
+    {{- "with its proper arguments that best answers the given prompt.\n\n" }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+    {{- first_user_message + "<|eot_id|>"}}
+{%- endif %}
+
+{%- for message in messages %}
+    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
+        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
+    {%- elif 'tool_calls' in message %}
+        {%- if not message.tool_calls|length == 1 %}
+            {{- raise_exception("This model only supports single tool-calls at once!") }}
+        {%- endif %}
+        {%- set tool_call = message.tool_calls[0].function %}
+        {%- if builtin_tools is defined and tool_call.name in builtin_tools %}
+            {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
+            {{- "<|python_tag|>" + tool_call.name + ".call(" }}
+            {%- for arg_name, arg_val in tool_call.arguments | items %}
+                {{- arg_name + '="' + arg_val + '"' }}
+                {%- if not loop.last %}
+                    {{- ", " }}
+                {%- endif %}
+                {%- endfor %}
+            {{- ")" }}
+        {%- else  %}
+            {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
+            {{- '{"name": "' + tool_call.name + '", ' }}
+            {{- '"parameters": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- "}" }}
+        {%- endif %}
+        {%- if builtin_tools is defined %}
+            {#- This means we're in ipython mode #}
+            {{- "<|eom_id|>" }}
+        {%- else %}
+            {{- "<|eot_id|>" }}
+        {%- endif %}
+    {%- elif message.role == "tool" or message.role == "ipython" %}
+        {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
+        {%- if message.content is mapping or message.content is iterable %}
+            {{- message.content | tojson }}
+        {%- else %}
+            {{- message.content }}
+        {%- endif %}
+        {{- "<|eot_id|>" }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
+{%- endif %}

checkpoint-50/optimizer.pt

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+size 671467171

checkpoint-50/rng_state.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:58ac503aa8cc3d52cfca93d63754b4f68e6f3dc447d9fec99aee519f411af0ff
+size 14645

checkpoint-50/scheduler.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d1329cdb892ab0f88b96de070e8458d2221cca89f463b49aeef68b7b9fecf461
+size 1465

checkpoint-50/special_tokens_map.json

@@ -0,0 +1,23 @@
+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|eot_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
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checkpoint-66/.ipynb_checkpoints/README-checkpoint.md

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+---
+base_model: unsloth/Meta-Llama-3.1-8B-Instruct
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- axolotl
+- base_model:adapter:unsloth/Meta-Llama-3.1-8B-Instruct
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- 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. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.17.1

checkpoint-66/README.md

@@ -0,0 +1,208 @@
+---
+base_model: unsloth/Meta-Llama-3.1-8B-Instruct
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- axolotl
+- base_model:adapter:unsloth/Meta-Llama-3.1-8B-Instruct
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- 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. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.17.1

checkpoint-66/adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/Meta-Llama-3.1-8B-Instruct",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "qalora_group_size": 16,
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "o_proj",
+    "k_proj",
+    "q_proj",
+    "v_proj",
+    "gate_proj",
+    "up_proj"
+  ],
+  "target_parameters": [],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

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checkpoint-66/chat_template.jinja

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+{{- bos_token }}
+{%- if custom_tools is defined %}
+    {%- set tools = custom_tools %}
+{%- endif %}
+{%- if not tools_in_user_message is defined %}
+    {%- set tools_in_user_message = true %}
+{%- endif %}
+{%- if not date_string is defined %}
+    {%- set date_string = "26 Jul 2024" %}
+{%- endif %}
+{%- if not tools is defined %}
+    {%- set tools = none %}
+{%- endif %}
+
+{#- This block extracts the system message, so we can slot it into the right place. #}
+{%- if messages[0]['role'] == 'system' %}
+    {%- set system_message = messages[0]['content']|trim %}
+    {%- set messages = messages[1:] %}
+{%- else %}
+    {%- set system_message = "" %}
+{%- endif %}
+
+{#- System message + builtin tools #}
+{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
+{%- if builtin_tools is defined or tools is not none %}
+    {{- "Environment: ipython\n" }}
+{%- endif %}
+{%- if builtin_tools is defined %}
+    {{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "\n\n"}}
+{%- endif %}
+{{- "Cutting Knowledge Date: December 2023\n" }}
+{{- "Today Date: " + date_string + "\n\n" }}
+{%- if tools is not none and not tools_in_user_message %}
+    {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+{%- endif %}
+{{- system_message }}
+{{- "<|eot_id|>" }}
+
+{#- Custom tools are passed in a user message with some extra guidance #}
+{%- if tools_in_user_message and not tools is none %}
+    {#- Extract the first user message so we can plug it in here #}
+    {%- if messages | length != 0 %}
+        {%- set first_user_message = messages[0]['content']|trim %}
+        {%- set messages = messages[1:] %}
+    {%- else %}
+        {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
+{%- endif %}
+    {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
+    {{- "Given the following functions, please respond with a JSON for a function call " }}
+    {{- "with its proper arguments that best answers the given prompt.\n\n" }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+    {{- first_user_message + "<|eot_id|>"}}
+{%- endif %}
+
+{%- for message in messages %}
+    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
+        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
+    {%- elif 'tool_calls' in message %}
+        {%- if not message.tool_calls|length == 1 %}
+            {{- raise_exception("This model only supports single tool-calls at once!") }}
+        {%- endif %}
+        {%- set tool_call = message.tool_calls[0].function %}
+        {%- if builtin_tools is defined and tool_call.name in builtin_tools %}
+            {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
+            {{- "<|python_tag|>" + tool_call.name + ".call(" }}
+            {%- for arg_name, arg_val in tool_call.arguments | items %}
+                {{- arg_name + '="' + arg_val + '"' }}
+                {%- if not loop.last %}
+                    {{- ", " }}
+                {%- endif %}
+                {%- endfor %}
+            {{- ")" }}
+        {%- else  %}
+            {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
+            {{- '{"name": "' + tool_call.name + '", ' }}
+            {{- '"parameters": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- "}" }}
+        {%- endif %}
+        {%- if builtin_tools is defined %}
+            {#- This means we're in ipython mode #}
+            {{- "<|eom_id|>" }}
+        {%- else %}
+            {{- "<|eot_id|>" }}
+        {%- endif %}
+    {%- elif message.role == "tool" or message.role == "ipython" %}
+        {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
+        {%- if message.content is mapping or message.content is iterable %}
+            {{- message.content | tojson }}
+        {%- else %}
+            {{- message.content }}
+        {%- endif %}
+        {{- "<|eot_id|>" }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
+{%- endif %}

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+    "content": "<|begin_of_text|>",
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+[2026-04-05 19:39:57,659] [DEBUG] [axolotl.utils.config.log_gpu_memory_usage:127] [PID:2580] baseline 0.000GB ()
+[2026-04-05 19:39:57,660] [INFO] [axolotl.cli.config.load_cfg:248] [PID:2580] config:
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+}
+[2026-04-05 19:39:57,664] [INFO] [axolotl.cli.utils.load.load_model_and_tokenizer:40] [PID:2580] loading tokenizer... unsloth/Meta-Llama-3.1-8B-Instruct
+[2026-04-05 19:39:58,793] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:278] [PID:2580] EOS: 128009 / <|eot_id|>
+[2026-04-05 19:39:58,794] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:279] [PID:2580] BOS: 128000 / <|begin_of_text|>
+[2026-04-05 19:39:58,795] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:280] [PID:2580] PAD: 128004 / <|finetune_right_pad_id|>
+[2026-04-05 19:39:58,796] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:281] [PID:2580] UNK: None / None
+[2026-04-05 19:39:58,797] [INFO] [axolotl.cli.utils.load.load_model_and_tokenizer:43] [PID:2580] loading model...
+[2026-04-05 19:39:58,924] [DEBUG] [axolotl.monkeypatch.transformers.trainer_loss_calc.patch_evaluation_loop:87] [PID:2580] Patched Trainer.evaluation_loop with nanmean loss calculation
+[2026-04-05 19:39:58,927] [DEBUG] [axolotl.monkeypatch.transformers.trainer_loss_calc.patch_maybe_log_save_evaluate:138] [PID:2580] Patched Trainer._maybe_log_save_evaluate with nanmean loss calculation
+
+[2026-04-05 19:40:03,363] [INFO] [axolotl.loaders.model._configure_embedding_dtypes:345] [PID:2580] Converting modules to torch.bfloat16
+[2026-04-05 19:40:03,369] [DEBUG] [axolotl.loaders.model.log_gpu_memory_usage:127] [PID:2580] Memory usage after model load 17.894GB (+17.894GB allocated, +18.873GB reserved)
+[2026-04-05 19:40:03,370] [DEBUG] [axolotl.loaders.adapter.load_lora:143] [PID:2580] Loading pretrained PEFT - LoRA
+trainable params: 83,886,080 || all params: 8,114,147,328 || trainable%: 1.0338
+[2026-04-05 19:40:14,800] [DEBUG] [axolotl.loaders.model.log_gpu_memory_usage:127] [PID:2580] after adapters 15.583GB (+15.583GB allocated, +19.170GB reserved)
+================================================================================
+Give me an instruction (Ctrl + D to submit): 
+================================================================================
+================================================================================
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+Cutting Knowledge Date: December 2023
+Today Date: 26 Jul 2024
+
+<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+{
+    "dataType": "CVE_RECORD",
+    "cveMetadata": {
+        "state": "PUBLISHED",
+        "cveId": "CVE-2026-30286",
+        "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
+        "assignerShortName": "mitre",
+        "dateUpdated": "2026-04-02T14:27:23.319Z",
+        "dateReserved": "2026-03-04T00:00:00.000Z",
+        "datePublished": "2026-03-31T00:00:00.000Z"
+    },
+    "containers": {
+        "cna": {
+            "providerMetadata": {
+                "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
+                "shortName": "mitre",
+                "dateUpdated": "2026-03-31T18:02:36.652Z"
+            },
+            "descriptions": [
+                {
+                    "lang": "en",
+                    "value": "An arbitrary file overwrite vulnerability in Funambol, Inc. Zefiro Cloud v32.0.2026011614 allows attackers to overwrite critical internal files via the file import process, leading to arbitrary code execution or information exposure."
+                }
+            ],
+            "affected": [
+                {
+                    "vendor": "n/a",
+                    "product": "n/a",
+                    "versions": [
+                        {
+                            "version": "n/a",
+                            "status": "affected"
+                        }
+                    ]
+                }
+            ],
+            "references": [
+                {
+                    "url": "https://secsys.fudan.edu.cn/"
+                },
+                {
+                    "url": "https://play.google.com/store/apps/details?id=com.funambol.zefiro"
+                },
+                {
+                    "url": "https://zefiro.me/"
+                },
+                {
+                    "url": "https://github.com/Secsys-FDU/AF_CVEs/issues/14"
+                }
+            ],
+            "problemTypes": [
+                {
+                    "descriptions": [
+                        {
+                            "type": "text",
+                            "lang": "en",
+                            "description": "n/a"
+                        }
+                    ]
+                }
+            ]
+        },
+        "adp": [
+            {
+                "problemTypes": [
+                    {
+                        "descriptions": [
+                            {
+                                "type": "CWE",
+                                "cweId": "CWE-22",
+                                "lang": "en",
+                                "description": "CWE-22 Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')"
+                            }
+                        ]
+                    }
+                ],
+                "metrics": [
+                    {
+                        "cvssV3_1": {
+                            "scope": "UNCHANGED",
+                            "version": "3.1",
+                            "baseScore": 9.8,
+                            "attackVector": "NETWORK",
+                            "baseSeverity": "CRITICAL",
+                            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
+                            "integrityImpact": "HIGH",
+                            "userInteraction": "NONE",
+                            "attackComplexity": "LOW",
+                            "availabilityImpact": "HIGH",
+                            "privilegesRequired": "NONE",
+                            "confidentialityImpact": "HIGH"
+                        }
+                    },
+                    {
+                        "other": {
+                            "type": "ssvc",
+                            "content": {
+                                "timestamp": "2026-04-02T14:25:59.512724Z",
+                                "id": "CVE-2026-30286",
+                                "options": [
+                                    {
+                                        "Exploitation": "none"
+                                    },
+                                    {
+                                        "Automatable": "yes"
+                                    },
+                                    {
+                                        "Technical Impact": "total"
+                                    }
+                                ],
+                                "role": "CISA Coordinator",
+                                "version": "2.0.3"
+                            }
+                        }
+                    }
+                ],
+                "title": "CISA ADP Vulnrichment",
+                "providerMetadata": {
+                    "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
+                    "shortName": "CISA-ADP",
+                    "dateUpdated": "2026-04-02T14:27:23.319Z"
+                }
+            }
+        ]
+    },
+    "dataVersion": "5.2"
+}
+"""<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+
+This is a JSON object representing a CVE (Common Vulnerabilities and Exposures) record. Here's a breakdown of its contents:
+
+**CVE ID:** CVE-2026-30286
+
+**Vulnerability Type:** Arbitrary file overwrite vulnerability
+
+**Affected System:** Funambol, Inc. Zefiro Cloud version 32.0.2026011614
+
+**Description:** An attacker can exploit this vulnerability by importing files through the file import process, which allows them to overwrite critical internal files on the system. This can lead to arbitrary code execution or information exposure.
+
+**References:**
+
+* https://secsys.fudan.edu.cn/
+* https://play.google.com/store/apps/details?id=com.funambol.zefiro
+* https://zefiro.me/
+* https://github.com/Secsys-FDU/AF_CVEs/issues/14
+
+**CVSS Version:** 3.1
+**CVSS Vector:** CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
+**Base Score:** 9.8
+**Severity Label:** CRITICAL
+
+**Other Information:**
+
+* Exploited by: Remote attacker
+* Privileges required: None
+* User interaction: None
+* Attack vector: Network
+* Integrity impact: High
+* Availability impact: High
+* Confidentiality impact: High
+
+Note that the vendor and product names are missing from the affected container. This might be due to incomplete data in the provided JSON object.<|eot_id|>
+================================================================================
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+Cutting Knowledge Date: December 2023
+Today Date: 26 Jul 2024
+
+<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+{
+    "dataType": "CVE_RECORD",
+    "cveMetadata": {
+        "state": "PUBLISHED",
+        "cveId": "CVE-2026-30286",
+        "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
+        "assignerShortName": "mitre",
+        "dateUpdated": "2026-04-02T14:27:23.319Z",
+        "dateReserved": "2026-03-04T00:00:00.000Z",
+        "datePublished": "2026-03-31T00:00:00.000Z"
+    },
+    "containers": {
+        "cna": {
+            "providerMetadata": {
+                "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
+                "shortName": "mitre",
+                "dateUpdated": "2026-03-31T18:02:36.652Z"
+            },
+            "descriptions": [
+                {
+                    "lang": "en",
+                    "value": "An arbitrary file overwrite vulnerability in Funambol, Inc. Zefiro Cloud v32.0.2026011614 allows attackers to overwrite critical internal files via the file import process, leading to arbitrary code execution or information exposure."
+                }
+            ],
+            "affected": [
+                {
+                    "vendor": "n/a",
+                    "product": "n/a",
+                    "versions": [
+                        {
+                            "version": "n/a",
+                            "status": "affected"
+                        }
+                    ]
+                }
+            ],
+            "references": [
+                {
+                    "url": "https://secsys.fudan.edu.cn/"
+                },
+                {
+                    "url": "https://play.google.com/store/apps/details?id=com.funambol.zefiro"
+                },
+                {
+                    "url": "https://zefiro.me/"
+                },
+                {
+                    "url": "https://github.com/Secsys-FDU/AF_CVEs/issues/14"
+                }
+            ],
+            "problemTypes": [
+                {
+                    "descriptions": [
+                        {
+                            "type": "text",
+                            "lang": "en",
+                            "description": "n/a"
+                        }
+                    ]
+                }
+            ]
+        },
+        "adp": [
+            {
+                "problemTypes": [
+                    {
+                        "descriptions": [
+                            {
+                                "type": "CWE",
+                                "cweId": "CWE-22",
+                                "lang": "en",
+                                "description": "CWE-22 Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')"
+                            }
+                        ]
+                    }
+                ],
+                "metrics": [
+                    {
+                        "cvssV3_1": {
+                            "scope": "UNCHANGED",
+                            "version": "3.1",
+                            "baseScore": 9.8,
+                            "attackVector": "NETWORK",
+                            "baseSeverity": "CRITICAL",
+                            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
+                            "integrityImpact": "HIGH",
+                            "userInteraction": "NONE",
+                            "attackComplexity": "LOW",
+                            "availabilityImpact": "HIGH",
+                            "privilegesRequired": "NONE",
+                            "confidentialityImpact": "HIGH"
+                        }
+                    },
+                    {
+                        "other": {
+                            "type": "ssvc",
+                            "content": {
+                                "timestamp": "2026-04-02T14:25:59.512724Z",
+                                "id": "CVE-2026-30286",
+                                "options": [
+                                    {
+                                        "Exploitation": "none"
+                                    },
+                                    {
+                                        "Automatable": "yes"
+                                    },
+                                    {
+                                        "Technical Impact": "total"
+                                    }
+                                ],
+                                "role": "CISA Coordinator",
+                                "version": "2.0.3"
+                            }
+                        }
+                    }
+                ],
+                "title": "CISA ADP Vulnrichment",
+                "providerMetadata": {
+                    "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
+                    "shortName": "CISA-ADP",
+                    "dateUpdated": "2026-04-02T14:27:23.319Z"
+                }
+            }
+        ]
+    },
+    "dataVersion": "5.2"
+}
+"""<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+
+This is a JSON object representing a CVE (Common Vulnerabilities and Exposures) record. Here's a breakdown of its contents:
+
+**CVE ID:** CVE-2026-30286
+
+**Vulnerability Type:** Arbitrary file overwrite vulnerability
+
+**Affected System:** Funambol, Inc. Zefiro Cloud version 32.0.2026011614
+
+**Description:** An attacker can exploit this vulnerability by importing files through the file import process, which allows them to overwrite critical internal files on the system. This can lead to arbitrary code execution or information exposure.
+
+**References:**
+
+* https://secsys.fudan.edu.cn/
+* https://play.google.com/store/apps/details?id=com.funambol.zefiro
+* https://zefiro.me/
+* https://github.com/Secsys-FDU/AF_CVEs/issues/14
+
+**CVSS Version:** 3.1
+**CVSS Vector:** CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
+**Base Score:** 9.8
+**Severity Label:** CRITICAL
+
+**Other Information:**
+
+* Exploited by: Remote attacker
+* Privileges required: None
+* User interaction: None
+* Attack vector: Network
+* Integrity impact: High
+* Availability impact: High
+* Confidentiality impact: High
+
+Note that the vendor and product names are missing from the affected container. This might be due to incomplete data in the provided JSON object.<|eot_id|>
+================================================================================
+Give me an instruction (Ctrl + D to submit): 
+================================================================================
+================================================================================
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+Cutting Knowledge Date: December 2023
+Today Date: 26 Jul 2024
+
+<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+# 1. Ensure the model is ready for fast inference
+from unsloth import FastLanguageModel
+FastLanguageModel.for_inference(model)
+
+# 2. Define the raw CVE string (The one you just sent me)
+# I've used a triple-quoted string to handle the internal quotes correctly.
+raw_cve_input = """
+{
+    "dataType": "CVE_RECORD",
+    "cveMetadata": {
+        "state": "PUBLISHED",
+        "cveId": "CVE-2026-30286",
+        "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
+        "assignerShortName": "mitre",
+        "dateUpdated": "2026-04-02T14:27:23.319Z",
+        "dateReserved": "2026-03-04T00:00:00.000Z",
+        "datePublished": "2026-03-31T00:00:00.000Z"
+    },
+    "containers": {
+        "cna": {
+            "providerMetadata": {
+                "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
+                "shortName": "mitre",
+                "dateUpdated": "2026-03-31T18:02:36.652Z"
+            },
+            "descriptions": [
+                {
+                    "lang": "en",
+                    "value": "An arbitrary file overwrite vulnerability in Funambol, Inc. Zefiro Cloud v32.0.2026011614 allows attackers to overwrite critical internal files via the file import process, leading to arbitrary code execution or information exposure."
+                }
+            ],
+            "affected": [
+                {
+                    "vendor": "n/a",
+                    "product": "n/a",
+                    "versions": [
+                        {
+                            "version": "n/a",
+                            "status": "affected"
+                        }
+                    ]
+                }
+            ],
+            "references": [
+                {
+                    "url": "https://secsys.fudan.edu.cn/"
+                },
+                {
+                    "url": "https://play.google.com/store/apps/details?id=com.funambol.zefiro"
+                },
+                {
+                    "url": "https://zefiro.me/"
+                },
+                {
+                    "url": "https://github.com/Secsys-FDU/AF_CVEs/issues/14"
+                }
+            ],
+            "problemTypes": [
+                {
+                    "descriptions": [
+                        {
+                            "type": "text",
+                            "lang": "en",
+                            "description": "n/a"
+                        }
+                    ]
+                }
+            ]
+        },
+        "adp": [
+            {
+                "problemTypes": [
+                    {
+                        "descriptions": [
+                            {
+                                "type": "CWE",
+                                "cweId": "CWE-22",
+                                "lang": "en",
+                                "description": "CWE-22 Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')"
+                            }
+                        ]
+                    }
+                ],
+                "metrics": [
+                    {
+                        "cvssV3_1": {
+                            "scope": "UNCHANGED",
+                            "version": "3.1",
+                            "baseScore": 9.8,
+                            "attackVector": "NETWORK",
+                            "baseSeverity": "CRITICAL",
+                            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
+                            "integrityImpact": "HIGH",
+                            "userInteraction": "NONE",
+                            "attackComplexity": "LOW",
+                            "availabilityImpact": "HIGH",
+                            "privilegesRequired": "NONE",
+                            "confidentialityImpact": "HIGH"
+                        }
+                    },
+                    {
+                        "other": {
+                            "type": "ssvc",
+                            "content": {
+                                "timestamp": "2026-04-02T14:25:59.512724Z",
+                                "id": "CVE-2026-30286",
+                                "options": [
+                                    {
+                                        "Exploitation": "none"
+                                    },
+                                    {
+                                        "Automatable": "yes"
+                                    },
+                                    {
+                                        "Technical Impact": "total"
+                                    }
+                                ],
+                                "role": "CISA Coordinator",
+                                "version": "2.0.3"
+                            }
+                        }
+                    }
+                ],
+                "title": "CISA ADP Vulnrichment",
+                "providerMetadata": {
+                    "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
+                    "shortName": "CISA-ADP",
+                    "dateUpdated": "2026-04-02T14:27:23.319Z"
+                }
+            }
+        ]
+    },
+    "dataVersion": "5.2"
+}
+"""
+
+# 3. Format the message exactly like the training data
+messages = [
+    {
+        "role": "system",
+        "content": "You are an elite cybersecurity data extraction AI. \nYour task is to analyze raw CVE JSON records and convert them into a normalized semantic JSON schema. \nAnalyze the CWE types, CVSS vectors, and descriptions to predict the 'threat_information' and'severity' fields accurately.\nYou must output ONLY valid JSON. Do not include markdown formatting, explanations, or any other text."
+    },
+    {
+        "role": "user",
+        "content": f"Convert this raw CVE record into the semantic schema:\n{raw_cve_input}"
+    }
+]
+
+# 4. Tokenize and prepare the GPU inputs
+inputs = tokenizer.apply_chat_template(
+    messages,
+    tokenize = True,
+    add_generation_prompt = True, # Tells Llama "Now it's your turn to generate"
+    return_tensors = "pt",
+).to("cuda")
+
+# 5. Execute Generation
+print("Model Output:\n" + "-"*40)
+
+outputs = model.generate(
+    input_ids = inputs,
+    max_new_tokens = 512,
+    use_cache = True,
+    temperature = 0.1, # Keep it low for structural accuracy
+)
+
+# 6. Decode and show only the new assistant response
+input_length = inputs.shape[1]
+final_response = tokenizer.decode(outputs[0][input_length:], skip_special_tokens=True)
+
+print(final_response)<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+
+To ensure the model is ready for fast inference, we need to create an instance of `FastLanguageModel` with our pre-trained model and then call its `for_inference` method.
+
+```python
+from unsloth import FastLanguageModel
+model_name = "your_model_name"  # Replace with your actual model name
+model = FastLanguageModel.from_pretrained(model_name)
+model.for_inference()
+```
+
+Next, let's proceed with defining the raw CVE string as given in the problem statement:
+
+```python
+raw_cve_input = """
+{
+    "dataType": "CVE_RECORD",
+    "cveMetadata": {
+        "state": "PUBLISHED",
+        "cveId": "CVE-2026-30286",
+        "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
+        "assignerShortName": "mitre",
+        "dateUpdated": "2026-04-02T14:27:23.319Z",
+        "dateReserved": "2026-03-04T00:00:00.000Z",
+        "datePublished": "2026-03-31T00:00:00.000Z"
+    },
+    "containers": {
+        "cna": {
+            "providerMetadata": {
+                "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
+                "shortName": "mitre",
+                "dateUpdated": "2026-03-31T18:02:36.652Z"
+            },
+            "descriptions": [
+                {
+                    "lang": "en",
+                    "value": "An arbitrary file overwrite vulnerability in Funambol, Inc. Zefiro Cloud v32.0.2026011614 allows attackers to overwrite critical internal files via the file import process, leading to arbitrary code execution or information exposure."
+                }
+            ],
+            "affected": [
+                {
+                    "vendor": "n/a",
+                    "product": "n/a",
+                    "versions": [
+                        {
+                            "version": "n/a",
+                            "status": "affected"
+                        }
+                    ]
+                }
+            ],
+            "references": [
+                {
+                    "url": "https://secsys.fudan.edu.cn/"
+                },
+                {
+                    "url": "https://play.google.com/store/apps/details?id=com.funambol.zefiro"
+                },
+                {
+                    "url": "https://zefiro.me/"
+                },
+                {
+                    "url": "https://github.com/Secsys-FDU/AF_CVEs/issues/14"
+                }
+            ],
+            "problemTypes": [
+                {
+                    "descriptions": [
+                        {
+                            "type": "text",
+                            "lang": "en",
+                            "description": "n/a"
+                        }
+                    ]
+                }
+            ]
+        },
+        "adp": [
+            {
+                "problemTypes": [
+                    {
+                        "descriptions": [
+                            {
+                                "type": "CWE",
+                                "cweId": "CWE-22",
+                                "lang": "en",
+                                "description": "CWE-22 Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')"
+                            }
+                        ]
+                    }
+                ],
+                "metrics": [
+                    {
+                        "cvssV3_1": {
+                            "scope": "UNCHANGED",
+                            "version": "3.1",
+                            "baseScore": 9.8,
+                            "attackVector": "NETWORK",
+                            "baseSeverity": "CRITICAL",
+                            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
+                            "integrityImpact": "HIGH",
+                            "userInteraction": "NONE",
+                            "attackComplexity": "LOW",
+                            "availabilityImpact": "HIGH",
+                            "privilegesRequired": "NONE",
+                            "confidentialityImpact": "HIGH"
+                        }
+                    },
+                    {
+                        "other": {
+                            "type": "ssvc",
+                            "content": {
+                                "timestamp": "2026-04-02T14:25:59.512724Z",
+                                "id": "CVE-2026-30286",
+                                "options": [
+                                    {
+                                        "Exploitation": "none"
+                                    },
+                                    {
+                                        "Automatable": "yes"
+                                    },
+                                    {
+                                        "Technical Impact": "total"
+                                    }
+                                ],
+                                "role": "CISA Coordinator",
+                                "version": "2.0.3"
+                            }
+                        }
+                    }
+                ],
+                "title": "CISA ADP Vulnrichment",
+                "providerMetadata": {
+                    "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0

special_tokens_map.json

@@ -0,0 +1,23 @@
+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|eot_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|finetune_right_pad_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
+size 17209920

tokenizer_config.json

@@ -0,0 +1,2066 @@
+{
+  "add_bos_token": true,
+  "added_tokens_decoder": {
+    "128000": {
+      "content": "<|begin_of_text|>",
+      "lstrip": false,
+      "normalized": false,
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+    },
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+    },
+    "128002": {
+      "content": "<|reserved_special_token_0|>",
+      "lstrip": false,
+      "normalized": false,
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+    },
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+    },
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+    },
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+    },
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