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Model: rasa/cmd_gen_codellama_13b_calm_demo
Source: Original Platform

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README.md

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+---
+base_model:
+- codellama/CodeLlama-13b-Instruct-hf
+language:
+- en
+license: apache-2.0
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- llama
+- trl
+datasets:
+- rasa/command-generation-calm-demo-v1
+pipeline_tag: text-generation
+---
+
+# Model Card for Command Generator
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+This is a Dialogue Understanding (DU) model developed by Rasa. 
+It can be used to power assistants built with the [Conversational AI with Language Models (CALM) approach](https://rasa.com/docs/rasa-pro/calm) developed by Rasa.
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+This model takes as input a transcript of an ongoing conversation between an AI assistant and a user,
+as well as structured information about the assistant's business logic.
+As output, it produces a short sequence of [commands](https://rasa.com/docs/rasa-pro/concepts/dialogue-understanding#command-reference) 
+(typically 1-3) from the following list:
+
+* `StartFlow(flow_name)`
+* `SetSlot(slot_name, slot_value)`
+* `CorrectSlot(slot_name, slot_value)`
+* `Clarify(flow_name_1, flow_name_2, ...)`
+* `ChitChat`
+* `KnowledgeAnswer`
+* `HumanHandoff`
+* `Error`
+
+Note that this model can only produce commands to be interpreted by Rasa.
+It **cannot** be used to generate arbitrary text.
+
+The Command Generator translates user messages into this internal grammar, allowing CALM to progress the conversation.
+
+Examples:
+
+> I want to transfer money
+
+`StartFlow(transfer_money)`
+
+> I want to transfer $55 to John
+
+`StartFlow(transfer_money), SetSlot(recipient, John), SetSlot(amount, 55)`
+
+- **Developed by:** Rasa Technologies
+- **Model type:** Text Generation
+- **Language(s) (NLP):** English
+- **License:** Apache 2.0
+- **Finetuned from model [optional]:** [CodeLlama 13b Instruct](https://huggingface.co/codellama/CodeLlama-13b-Instruct-hf)
+
+
+## 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. -->
+
+The Command Generator is used as part of an AI assistant developed with Rasa's CALM paradigm. 
+Typical use cases include customer-facing chatbots, voice assistants, IVR systems, and internal chatbots in large organizations.
+
+### Direct Use
+
+This model can be directly used as part of the command generator component if the flows of your CALM assistant are similar to flows used in the [rasa-calm-demo assistant](https://github.com/RasaHQ/rasa-calm-demo).
+
+### Downstream Use [optional]
+
+The model can also be used as a base model to fine-tune further on your own assistant's data using the [fine-tuning recipe feature](https://rasa.com/docs/rasa-pro/building-assistants/fine-tuning-recipe#step-2-prepare-the-fine-tuning-dataset) available in rasa pro
+
+### Out-of-Scope Use
+
+Since the model has been explicitly fine-tuned to output the grammar of commands, it shouldn't be used to generate any other free form content.
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+The Command Generator interprets conversations and translates user messages into commands.
+These commands are processed by Rasa to advance the conversations. 
+This model does not generate text to be sent to and end user, and is incapable of generating problematic
+or harmful text. 
+
+However, as with any pre-trained model, its predictions are susceptible to bias.
+For example, the accuracy of the model varies with the language used. The authors have tested the performance on English but haven't tried the model in any other language.
+
+
+## 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. -->
+
+Trained on the `train` split of [rasa/command-generation-calm-demo-v1](https://huggingface.co/datasets/rasa/command-generation-calm-demo-v1).
+
+### Training Procedure 
+
+Trained using the notebook available [here](https://github.com/RasaHQ/notebooks/blob/main/cmd_gen_finetuning.ipynb). Used a single A100 GPU with 80GB VRAM.
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+Evaluated on the `test` split of [rasa/command-generation-calm-demo-v1](https://huggingface.co/datasets/rasa/command-generation-calm-demo-v1).
+
+
+#### Metrics
+
+F1 score per command type (StartFlow, SetSlot, etc.) is the main metric chosen to evaluate the model on the test split. 
+This helps us understand which commands the model has learnt well and the ones that the model needs more training on.
+
+### Results
+
+The below table shows the F1 score per command for this model.
+
+| Model                                | StartFlow | SetSlot | Cancel | Clarify | Chitchat | SearchAndReply | SkipQuestion |
+|--------------------------------------|-----------|---------|--------|---------|----------|----------------|--------------|
+| rasa/cmd_gen_codellama_13b_calm_demo | 0.9722    | 0.9239  | 0.6667 | 0.8889  | 1        | 0              | 0.8          |
+
+
+
+
+
+## Model Card Contact
+
+[More Information Needed]

config.json

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+  "_name_or_path": "rasa-calm-demo-finetuning-tanja",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
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+  "max_position_embeddings": 16384,
+  "mlp_bias": false,
+  "model_type": "llama",
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+  "tie_word_embeddings": false,
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+  "transformers_version": "4.42.4",
+  "unsloth_version": "2024.7",
+  "use_cache": true,
+  "vocab_size": 32016
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.42.4"
+}

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+    "model.norm.weight": "model-00006-of-00006.safetensors"
+  }
+}

special_tokens_map.json

@@ -0,0 +1,34 @@
+{
+  "additional_special_tokens": [
+    "▁<PRE>",
+    "▁<MID>",
+    "▁<SUF>",
+    "▁<EOT>",
+    "▁<PRE>",
+    "▁<MID>",
+    "▁<SUF>",
+    "▁<EOT>"
+  ],
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<unk>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:45ccb9c8b6b561889acea59191d66986d314e7cbd6a78abc6e49b139ca91c1e6
+size 500058

tokenizer_config.json

@@ -0,0 +1,89 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32007": {
+      "content": "▁<PRE>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32008": {
+      "content": "▁<SUF>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32009": {
+      "content": "▁<MID>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32010": {
+      "content": "▁<EOT>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "▁<PRE>",
+    "▁<MID>",
+    "▁<SUF>",
+    "▁<EOT>",
+    "▁<PRE>",
+    "▁<MID>",
+    "▁<SUF>",
+    "▁<EOT>"
+  ],
+  "bos_token": "<s>",
+  "chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<<SYS>>\\n' + system_message + '\\n<</SYS>>\\n\\n' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ bos_token + '[INST] ' + content | trim + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ ' '  + content | trim + ' ' + eos_token }}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "eot_token": "▁<EOT>",
+  "fill_token": "<FILL_ME>",
+  "legacy": null,
+  "middle_token": "▁<MID>",
+  "model_max_length": 16384,
+  "pad_token": "<unk>",
+  "padding_side": "left",
+  "prefix_token": "▁<PRE>",
+  "sp_model_kwargs": {},
+  "suffix_token": "▁<SUF>",
+  "tokenizer_class": "CodeLlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}