Upload 8 files
Browse files- lora_model/README.md +210 -0
- lora_model/adapter_config.json +41 -0
- lora_model/adapter_model.safetensors +3 -0
- lora_model/chat_template.jinja +71 -0
- lora_model/special_tokens_map.json +51 -0
- lora_model/tokenizer.json +0 -0
- lora_model/tokenizer.model +3 -0
- lora_model/tokenizer_config.json +171 -0
lora_model/README.md
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---
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base_model: sbintuitions/sarashina2.2-3b-instruct-v0.1
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library_name: peft
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pipeline_tag: text-generation
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tags:
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- base_model:adapter:sbintuitions/sarashina2.2-3b-instruct-v0.1
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- lora
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- sft
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- transformers
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- trl
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- unsloth
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[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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## Glossary [optional]
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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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[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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- PEFT 0.16.0
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lora_model/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "sbintuitions/sarashina2.2-3b-instruct-v0.1",
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"bias": "none",
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"corda_config": null,
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_bias": false,
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"lora_dropout": 0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"qalora_group_size": 16,
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"o_proj",
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"gate_proj",
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"v_proj",
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"down_proj",
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"k_proj",
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"q_proj",
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"up_proj"
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],
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"use_dora": false,
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"use_qalora": false,
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"use_rslora": false
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}
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lora_model/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2cba5a4ff9f27b5b17f36d15472f5e8d069e08d752cfc20fdae25c4f466b1b79
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size 107538688
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lora_model/chat_template.jinja
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{%- set user_messages = messages | selectattr('role', 'equalto', 'user') | list %}
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{%- macro output_available_tools(tools, message) %}
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{%- if tools and (message == user_messages[-1]) %}
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{{- '<|available_tools|>[' }}
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{%- for tool in tools %}
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{%- set tool = tool.function %}
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{{- "{" }}
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{%- for key, val in tool.items() if key != "return" %}
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{%- if val is string %}
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{{- "'" + key + "': '" + val + "'" }}
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{%- else %}
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{{- "'" + key + "': " + val|string }}
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{%- endif %}
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{%- if not loop.last %}
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{{- ", " }}
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{%- endif %}
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{%- endfor %}
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{{- "}" }}
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{%- if not loop.last %}
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{{- ", " }}
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{%- else %}
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{{- "]" }}
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{%- endif %}
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{%- endfor %}
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{{- eos_token -}}
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{%- endif %}
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{%- endmacro %}
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{%- macro output_tool_results(tool_results) %}
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{{- '<|tool_results|>[' }}
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{%- for tool_result in tool_results %}
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{{- "{'content': " + tool_result.content|string + ", 'call_id': '" + tool_result.call_id + "'}" }}
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{%- endfor %}
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{{- ']' }}
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{{- eos_token -}}
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{%- endmacro %}
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{%- macro output_tool_calls(tool_calls) %}
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{{- '<|tool_calls|>[' }}
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{%- for tool_call in tool_calls %}
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{{- "{'id': '" + tool_call.id + "', 'name': '" + tool_call.name + "', 'arguments': " + tool_call.arguments|string + '}' }}
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{%- endfor %}
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{{- ']' }}
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{%- endmacro %}
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{%- for message in messages %}
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{%- if message['role'] == 'user' %}
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{%- if tools is defined %}
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{{- output_available_tools(tools, message) }}
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{%- endif %}
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{{- '<|user|>' + message['content'] + eos_token -}}
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{%- elif message['role'] == 'system' %}
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{{- '<|system|>' + message['content'] + eos_token -}}
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{%- elif message['role'] == 'assistant' %}
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{% set assistant_content = "" %}
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{%- if message.content is defined %}
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{% set assistant_content = message.content %}
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{%- endif %}
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{%- if message.tool_calls is defined and message.tool_calls -%}
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{{- '<|assistant|>' + assistant_content + output_tool_calls(message['tool_calls']) + eos_token -}}
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{%- else %}
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{{- '<|assistant|>' + assistant_content + eos_token }}
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{%- endif %}
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{%- elif message['role'] == 'tool_results' %}
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{{- output_tool_results(message.tool_results) }}
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{%- endif %}
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{%- if loop.last and add_generation_prompt -%}
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{{- '<|assistant|>' -}}
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+
{%- endif -%}
|
71 |
+
{%- endfor %}
|
lora_model/special_tokens_map.json
ADDED
@@ -0,0 +1,51 @@
|
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|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"cls_token": {
|
10 |
+
"content": "<cls>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"eos_token": {
|
17 |
+
"content": "</s>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"mask_token": {
|
24 |
+
"content": "<mask>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
},
|
30 |
+
"pad_token": {
|
31 |
+
"content": "<pad>",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false
|
36 |
+
},
|
37 |
+
"sep_token": {
|
38 |
+
"content": "<sep>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false
|
43 |
+
},
|
44 |
+
"unk_token": {
|
45 |
+
"content": "<unk>",
|
46 |
+
"lstrip": false,
|
47 |
+
"normalized": false,
|
48 |
+
"rstrip": false,
|
49 |
+
"single_word": false
|
50 |
+
}
|
51 |
+
}
|
lora_model/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
lora_model/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:008293028e1a9d9a1038d9b63d989a2319797dfeaa03f171093a57b33a3a8277
|
3 |
+
size 1831879
|
lora_model/tokenizer_config.json
ADDED
@@ -0,0 +1,171 @@
|
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|
|
|
|
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|
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|
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|
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|
|
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|
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|
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|
|
|
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|
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|
|
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|
|
|
|
|
|
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|
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|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_dummy_prefix_space": false,
|
4 |
+
"add_eos_token": false,
|
5 |
+
"add_prefix_space": false,
|
6 |
+
"added_tokens_decoder": {
|
7 |
+
"0": {
|
8 |
+
"content": "<unk>",
|
9 |
+
"lstrip": false,
|
10 |
+
"normalized": false,
|
11 |
+
"rstrip": false,
|
12 |
+
"single_word": false,
|
13 |
+
"special": true
|
14 |
+
},
|
15 |
+
"1": {
|
16 |
+
"content": "<s>",
|
17 |
+
"lstrip": false,
|
18 |
+
"normalized": false,
|
19 |
+
"rstrip": false,
|
20 |
+
"single_word": false,
|
21 |
+
"special": true
|
22 |
+
},
|
23 |
+
"2": {
|
24 |
+
"content": "</s>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false,
|
29 |
+
"special": true
|
30 |
+
},
|
31 |
+
"3": {
|
32 |
+
"content": "<pad>",
|
33 |
+
"lstrip": false,
|
34 |
+
"normalized": false,
|
35 |
+
"rstrip": false,
|
36 |
+
"single_word": false,
|
37 |
+
"special": true
|
38 |
+
},
|
39 |
+
"4": {
|
40 |
+
"content": "<sep>",
|
41 |
+
"lstrip": false,
|
42 |
+
"normalized": false,
|
43 |
+
"rstrip": false,
|
44 |
+
"single_word": false,
|
45 |
+
"special": true
|
46 |
+
},
|
47 |
+
"5": {
|
48 |
+
"content": "<mask>",
|
49 |
+
"lstrip": false,
|
50 |
+
"normalized": false,
|
51 |
+
"rstrip": false,
|
52 |
+
"single_word": false,
|
53 |
+
"special": true
|
54 |
+
},
|
55 |
+
"6": {
|
56 |
+
"content": "<cls>",
|
57 |
+
"lstrip": false,
|
58 |
+
"normalized": false,
|
59 |
+
"rstrip": false,
|
60 |
+
"single_word": false,
|
61 |
+
"special": true
|
62 |
+
},
|
63 |
+
"7": {
|
64 |
+
"content": "<|system|>",
|
65 |
+
"lstrip": false,
|
66 |
+
"normalized": false,
|
67 |
+
"rstrip": false,
|
68 |
+
"single_word": false,
|
69 |
+
"special": false
|
70 |
+
},
|
71 |
+
"8": {
|
72 |
+
"content": "<|assistant|>",
|
73 |
+
"lstrip": false,
|
74 |
+
"normalized": false,
|
75 |
+
"rstrip": false,
|
76 |
+
"single_word": false,
|
77 |
+
"special": false
|
78 |
+
},
|
79 |
+
"9": {
|
80 |
+
"content": "<|user|>",
|
81 |
+
"lstrip": false,
|
82 |
+
"normalized": false,
|
83 |
+
"rstrip": false,
|
84 |
+
"single_word": false,
|
85 |
+
"special": false
|
86 |
+
},
|
87 |
+
"10": {
|
88 |
+
"content": "<|available_tools|>",
|
89 |
+
"lstrip": false,
|
90 |
+
"normalized": false,
|
91 |
+
"rstrip": false,
|
92 |
+
"single_word": false,
|
93 |
+
"special": false
|
94 |
+
},
|
95 |
+
"11": {
|
96 |
+
"content": "<|tool_calls|>",
|
97 |
+
"lstrip": false,
|
98 |
+
"normalized": false,
|
99 |
+
"rstrip": false,
|
100 |
+
"single_word": false,
|
101 |
+
"special": false
|
102 |
+
},
|
103 |
+
"12": {
|
104 |
+
"content": "<|tool_results|>",
|
105 |
+
"lstrip": false,
|
106 |
+
"normalized": false,
|
107 |
+
"rstrip": false,
|
108 |
+
"single_word": false,
|
109 |
+
"special": false
|
110 |
+
},
|
111 |
+
"13": {
|
112 |
+
"content": "<|code|>",
|
113 |
+
"lstrip": false,
|
114 |
+
"normalized": false,
|
115 |
+
"rstrip": false,
|
116 |
+
"single_word": false,
|
117 |
+
"special": false
|
118 |
+
},
|
119 |
+
"14": {
|
120 |
+
"content": "<|file|>",
|
121 |
+
"lstrip": false,
|
122 |
+
"normalized": false,
|
123 |
+
"rstrip": false,
|
124 |
+
"single_word": false,
|
125 |
+
"special": false
|
126 |
+
},
|
127 |
+
"102397": {
|
128 |
+
"content": "<|prefix|>",
|
129 |
+
"lstrip": false,
|
130 |
+
"normalized": false,
|
131 |
+
"rstrip": false,
|
132 |
+
"single_word": false,
|
133 |
+
"special": false
|
134 |
+
},
|
135 |
+
"102398": {
|
136 |
+
"content": "<|suffix|>",
|
137 |
+
"lstrip": false,
|
138 |
+
"normalized": false,
|
139 |
+
"rstrip": false,
|
140 |
+
"single_word": false,
|
141 |
+
"special": false
|
142 |
+
},
|
143 |
+
"102399": {
|
144 |
+
"content": "<|middle|>",
|
145 |
+
"lstrip": false,
|
146 |
+
"normalized": false,
|
147 |
+
"rstrip": false,
|
148 |
+
"single_word": false,
|
149 |
+
"special": false
|
150 |
+
}
|
151 |
+
},
|
152 |
+
"bos_token": "<s>",
|
153 |
+
"clean_up_tokenization_spaces": false,
|
154 |
+
"cls_token": "<cls>",
|
155 |
+
"do_lower_case": false,
|
156 |
+
"eos_token": "</s>",
|
157 |
+
"extra_ids": 0,
|
158 |
+
"extra_special_tokens": {},
|
159 |
+
"keep_accents": true,
|
160 |
+
"legacy": false,
|
161 |
+
"mask_token": "<mask>",
|
162 |
+
"model_max_length": 8192,
|
163 |
+
"pad_token": "<pad>",
|
164 |
+
"padding_side": "right",
|
165 |
+
"sep_token": "<sep>",
|
166 |
+
"sp_model_kwargs": {},
|
167 |
+
"spaces_between_special_tokens": false,
|
168 |
+
"tokenizer_class": "LlamaTokenizer",
|
169 |
+
"unk_token": "<unk>",
|
170 |
+
"use_default_system_prompt": false
|
171 |
+
}
|