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Model: sdavies/globe-theatre-qwen25-3b-merged
Source: Original Platform

.gitattributes

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README.md

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+---
+license: apache-2.0
+base_model:
+- Qwen/Qwen2.5-3B-Instruct
+tags:
+- qwen2.5
+- transformers
+- comedy
+- creative-writing
+- shakespeare
+- merged
+- text-generation-inference
+- hackathon
+- build-small
+library_name: transformers
+---
+# 🎭 The Tragedy of the Group Chat: Merged Model
+
+A standalone merged Transformers version of The Tragedy of the Group Chat.
+
+This repository combines the Qwen2.5-3B-Instruct base model with the trained LoRA adapter into a single deployable **Transformers** model.
+
+**Most language models try to solve your problems.**
+
+**The Tragedy of the Group Chat** assumes your problems deserve a **badly performed Elizabethan stage production** instead.
+
+> You forgot to buy milk. Again. Everyone is angry. A sensible person would apologise. 
+> This model instead assembles an Elizabethan comedy troupe to make the situation considerably worse.
+
+
+![image](https://cdn-uploads.huggingface.co/production/uploads/6720fc25ebc007333bffab63/DacI6UautUOQOSB18Rdf7.png)
+
+## About the project
+
+The Tragedy of the Group Chat was created for the Hugging Face Build-Small Hackathon (June 2026).
+
+The project explored how much personality and structure can be taught to a relatively small local model through careful fine-tuning and iterative evaluation.
+
+Rather than building a general-purpose assistant, the goal was to transform tiny modern inconveniences into exaggerated theatrical comedy scenes.
+
+## Repository structure
+
+The project consists of three related repositories:
+- **LoRA adapter**: The original PEFT fine-tuning.<br>
+- **Merged model (this repository)**: A standalone Transformers version of the model. <br>
+- **GGUF edition**: A quantised deployment build for llama.cpp and local inference.
+
+## What does it do?
+
+Given a small modern grievance, the model produces a short comic scene in the style of a badly organised Elizabethan theatre company.
+
+Typical outputs include:
+
+* TITLE
+* DRAMATIS PERSONAE
+* SCENE
+* THOU MUST CHOOSE
+
+The intended voice combines influences from:
+
+* Shakespeare
+* Blackadder
+* Monty Python
+* British sitcoms
+* Amateur dramatic societies
+
+## Performance
+
+The underlying fine-tuned model achieved **56/80** on a held-out ten-prompt manual benchmark. The base Qwen2.5-3B-Instruct model scored **36/80** using the same evaluation procedure.
+
+The merged model preserves the behaviour of the LoRA adapter while simplifying deployment.
+
+## Intended use
+
+The model is intended for entertainment and creative text generation.
+
+It performs best on:
+
+* everyday annoyances
+* social awkwardness
+* household disasters
+* transport failures
+* office politics
+* mildly haunted appliances
+* inexplicably judgemental animals
+
+## Limitations
+
+The model intentionally prioritises style over factual accuracy.
+
+Recurring characters and running jokes are expected behaviour.
+
+The model performs best on small frustrations rather than major life events.
+
+## Loading
+
+This repository contains a standalone Transformers model and can be loaded directly with the Hugging Face Transformers library.
+
+## Build process
+
+This model was created by:
+
+Qwen2.5-3B-Instruct
+
+↓
+
+LoRA fine-tuning
+
+↓
+
+PEFT merge-and-unload
+
+↓
+
+Standalone Transformers model
+
+This merged model serves as the source for the GGUF deployment build.
+
+
+## Try the model
+
+- 🎭 [Interactive demo](https://huggingface.co/spaces/sdavies/tragedy-of-the-group-chat)
+
+## Related repositories
+
+- [LoRA adapter](https://huggingface.co/sdavies/globe-theatre-qwen25-3b-lora)
+- [GGUF edition](https://huggingface.co/sdavies/globe-theatre-qwen25-3b-gguf)

chat_template.jinja

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+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+    {%- endif %}
+    {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}

config.json

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+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "dtype": "float16",
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 32768,
+  "max_window_layers": 70,
+  "model_type": "qwen2",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 2,
+  "pad_token_id": null,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000.0,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.10.2",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

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+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "repetition_penalty": 1.05,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "5.10.2"
+}

model.safetensors

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+size 6171926680

tokenizer.json

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tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "is_local": false,
+  "local_files_only": false,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}