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PosthogAgent/data/models/cluster_4_lora/README.md ADDED
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+ ---
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+ base_model: mistralai/Mistral-7B-Instruct-v0.3
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+ library_name: peft
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+ model_name: cluster_4_lora
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+ tags:
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+ - base_model:adapter:mistralai/Mistral-7B-Instruct-v0.3
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+ - lora
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+ - sft
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+ - transformers
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+ - trl
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+ licence: license
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+ pipeline_tag: text-generation
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+ ---
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+
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+ # Model Card for cluster_4_lora
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+
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+ This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3).
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+ It has been trained using [TRL](https://github.com/huggingface/trl).
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+
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+ ## Quick start
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+
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+ ```python
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+ from transformers import pipeline
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+
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+ question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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+ generator = pipeline("text-generation", model="None", device="cuda")
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+ output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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+ print(output["generated_text"])
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+ ```
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+
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+ ## Training procedure
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+
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/amaan784-columbia-university/agentic-world/runs/t28gd2rh)
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+
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+
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+
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+ This model was trained with SFT.
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+
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+ ### Framework versions
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+
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+ - PEFT 0.18.1
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+ - TRL: 0.29.0
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+ - Transformers: 5.2.0
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+ - Pytorch: 2.10.0
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+ - Datasets: 4.6.1
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+ - Tokenizers: 0.22.2
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+
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+ ## Citations
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+
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+
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+
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+ Cite TRL as:
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+
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+ ```bibtex
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+ @software{vonwerra2020trl,
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+ title = {{TRL: Transformers Reinforcement Learning}},
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+ author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
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+ license = {Apache-2.0},
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+ url = {https://github.com/huggingface/trl},
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+ year = {2020}
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+ }
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+ ```
PosthogAgent/data/models/cluster_4_lora/adapter_config.json ADDED
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+ "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
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+ "bias": "none",
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+ "corda_config": null,
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+ "ensure_weight_tying": false,
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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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+ "loftq_config": {},
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+ "lora_alpha": 64,
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+ "lora_bias": false,
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+ "lora_dropout": 0.0,
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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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+ "peft_version": "0.18.1",
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+ "qalora_group_size": 16,
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+ "r": 32,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": [
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+ "k_proj",
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+ "down_proj",
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+ "v_proj",
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+ "gate_proj",
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+ "up_proj",
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+ "q_proj",
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+ "o_proj"
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+ ],
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+ "target_parameters": null,
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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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+ {%- if messages[0]["role"] == "system" %}
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+ {%- set system_message = messages[0]["content"] %}
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+ {%- set loop_messages = messages[1:] %}
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+ {%- else %}
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+ {%- set loop_messages = messages %}
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+ {%- endif %}
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+ {%- if not tools is defined %}
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+ {%- set tools = none %}
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+ {%- endif %}
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+ {%- set user_messages = loop_messages | selectattr("role", "equalto", "user") | list %}
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+
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+ {#- This block checks for alternating user/assistant messages, skipping tool calling messages #}
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+ {%- set ns = namespace() %}
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+ {%- set ns.index = 0 %}
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+ {%- for message in loop_messages %}
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+ {%- if not (message.role == "tool" or message.role == "tool_results" or (message.tool_calls is defined and message.tool_calls is not none)) %}
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+ {%- if (message["role"] == "user") != (ns.index % 2 == 0) %}
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+ {{- raise_exception("After the optional system message, conversation roles must alternate user/assistant/user/assistant/...") }}
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+ {%- endif %}
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+ {%- set ns.index = ns.index + 1 %}
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+ {%- endif %}
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+ {%- endfor %}
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+
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+ {{- bos_token }}
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+ {%- for message in loop_messages %}
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+ {%- if message["role"] == "user" %}
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+ {%- if tools is not none and (message == user_messages[-1]) %}
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+ {{- "[AVAILABLE_TOOLS] [" }}
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+ {%- set tool = tool.function %}
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+ {{- '{"type": "function", "function": {' }}
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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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+ {%- else %}
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+ {%- endif %}
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+ {%- elif message.tool_calls is defined and message.tool_calls is not none %}
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+ {{- "[TOOL_CALLS] [" }}
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+ {%- for tool_call in message.tool_calls %}
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+ {%- set out = tool_call.function|tojson %}
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+ {{- out[:-1] }}
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+ {{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
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+ {{- ', "id": "' + tool_call.id + '"}' }}
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+ {%- else %}
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+ {%- endif %}
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+ {{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
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+ {%- endif %}
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+ {%- endfor %}
PosthogAgent/data/models/cluster_4_lora/checkpoint-80/README.md ADDED
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+ ---
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+ base_model: mistralai/Mistral-7B-Instruct-v0.3
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:mistralai/Mistral-7B-Instruct-v0.3
7
+ - lora
8
+ - sft
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+ - transformers
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+ - trl
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+ ---
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+
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+ # Model Card for Model ID
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+
15
+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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+
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+
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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]
32
+ - **License:** [More Information Needed]
33
+ - **Finetuned from model [optional]:** [More Information Needed]
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+
35
+ ### Model Sources [optional]
36
+
37
+ <!-- Provide the basic links for the model. -->
38
+
39
+ - **Repository:** [More Information Needed]
40
+ - **Paper [optional]:** [More Information Needed]
41
+ - **Demo [optional]:** [More Information Needed]
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+
43
+ ## Uses
44
+
45
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
46
+
47
+ ### Direct Use
48
+
49
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
50
+
51
+ [More Information Needed]
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+
53
+ ### Downstream Use [optional]
54
+
55
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
56
+
57
+ [More Information Needed]
58
+
59
+ ### Out-of-Scope Use
60
+
61
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
62
+
63
+ [More Information Needed]
64
+
65
+ ## Bias, Risks, and Limitations
66
+
67
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
68
+
69
+ [More Information Needed]
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+
71
+ ### Recommendations
72
+
73
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
74
+
75
+ 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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+
77
+ ## How to Get Started with the Model
78
+
79
+ Use the code below to get started with the model.
80
+
81
+ [More Information Needed]
82
+
83
+ ## Training Details
84
+
85
+ ### Training Data
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+
87
+ <!-- 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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+
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+ [More Information Needed]
90
+
91
+ ### Training Procedure
92
+
93
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+
95
+ #### Preprocessing [optional]
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+
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+ [More Information Needed]
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+
99
+
100
+ #### Training Hyperparameters
101
+
102
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+
104
+ #### Speeds, Sizes, Times [optional]
105
+
106
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+
108
+ [More Information Needed]
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+
110
+ ## Evaluation
111
+
112
+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
114
+ ### Testing Data, Factors & Metrics
115
+
116
+ #### Testing Data
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+
118
+ <!-- This should link to a Dataset Card if possible. -->
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+
120
+ [More Information Needed]
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+
122
+ #### Factors
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+
124
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+
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+ [More Information Needed]
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+
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+ #### Metrics
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+
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+
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+ [More Information Needed]
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+
134
+ ### Results
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+
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+ [More Information Needed]
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+
138
+ #### Summary
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+
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+
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+
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+ ## Model Examination [optional]
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+
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+ <!-- Relevant interpretability work for the model goes here -->
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+
146
+ [More Information Needed]
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+
148
+ ## Environmental Impact
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+
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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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+
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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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+
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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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+
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+ ## Technical Specifications [optional]
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+
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+ ### Model Architecture and Objective
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+
164
+ [More Information Needed]
165
+
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+ ### Compute Infrastructure
167
+
168
+ [More Information Needed]
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+
170
+ #### Hardware
171
+
172
+ [More Information Needed]
173
+
174
+ #### Software
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+
176
+ [More Information Needed]
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+
178
+ ## Citation [optional]
179
+
180
+ <!-- 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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+
182
+ **BibTeX:**
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+
184
+ [More Information Needed]
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+
186
+ **APA:**
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+
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+ [More Information Needed]
189
+
190
+ ## Glossary [optional]
191
+
192
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+
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+ [More Information Needed]
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+
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+ ## More Information [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Authors [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Contact
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+
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+ [More Information Needed]
207
+ ### Framework versions
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+
209
+ - PEFT 0.18.1
PosthogAgent/data/models/cluster_4_lora/checkpoint-80/adapter_config.json ADDED
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+ "trainable_token_indices": null,
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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+ {%- if messages[0]["role"] == "system" %}
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+ {%- else %}
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+ {%- endif %}
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+ {%- set tools = none %}
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+ {%- endif %}
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+ {%- set user_messages = loop_messages | selectattr("role", "equalto", "user") | list %}
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+
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+ {#- This block checks for alternating user/assistant messages, skipping tool calling messages #}
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+ {%- set ns = namespace() %}
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+ {%- set ns.index = 0 %}
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+ {%- for message in loop_messages %}
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+ {%- if not (message.role == "tool" or message.role == "tool_results" or (message.tool_calls is defined and message.tool_calls is not none)) %}
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+ {%- if (message["role"] == "user") != (ns.index % 2 == 0) %}
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+ {{- raise_exception("After the optional system message, conversation roles must alternate user/assistant/user/assistant/...") }}
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+ {%- endif %}
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+ {%- set ns.index = ns.index + 1 %}
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+ {%- endif %}
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+ {%- endfor %}
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+
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+ {{- bos_token }}
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+ {%- for message in loop_messages %}
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+ {%- if message["role"] == "user" %}
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+ {%- if tools is not none and (message == user_messages[-1]) %}
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+ {{- "[AVAILABLE_TOOLS] [" }}
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+ {%- set tool = tool.function %}
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+ {{- '{"type": "function", "function": {' }}
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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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+ {%- endif %}
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+ {%- if not loop.last %}
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+ {{- ", " }}
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+ {%- endfor %}
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+ {{- "[/AVAILABLE_TOOLS]" }}
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+ {%- endif %}
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+ {{- "[INST] " + system_message + "\n\n" + message["content"] + "[/INST]" }}
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+ {%- else %}
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+ {{- "[INST] " + message["content"] + "[/INST]" }}
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+ {%- endif %}
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+ {%- elif message.tool_calls is defined and message.tool_calls is not none %}
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