Upload nexus-dispatch-7b merged model

.gitattributes

@@ -33,3 +33,4 @@ 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
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,64 @@
+---
+license: apache-2.0
+base_model: Qwen/Qwen2.5-7B-Instruct
+tags:
+  - sysbreak
+  - cyberpunk
+  - game-content
+  - qwen2
+  - lora-merged
+language:
+  - en
+pipeline_tag: text-generation
+---
+
+# nexus-dispatch-7b
+
+Fine-tuned Qwen2.5-7B-Instruct for SYSBREAK cyberpunk MMO content generation.
+
+## Model Description
+
+This model is a LoRA-merged version of Qwen2.5-7B-Instruct, fine-tuned to generate structured JSON content for the SYSBREAK game.
+
+**Purpose**: You are a cyberpunk mission writer for SYSBREAK. Generate missions in JSON format. Use ONLY entities from the provided world context. Do NOT include credit/XP reward values. Do NOT mention specific credit amounts in narrative text. Respond with valid JSON only.
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("nexus-dispatch-7b")
+tokenizer = AutoTokenizer.from_pretrained("nexus-dispatch-7b")
+
+messages = [
+    {"role": "system", "content": "You are a cyberpunk mission writer for SYSBREAK. Generate missions in JSON format. Use ONLY entities from the provided world context. Do NOT include credit/XP reward values. Do NOT mention specific credit amounts in narrative text. Respond with valid JSON only."},
+    {"role": "user", "content": "Your prompt here"},
+]
+
+text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(text, return_tensors="pt").to(model.device)
+outputs = model.generate(**inputs, max_new_tokens=1024, temperature=0.75, top_p=0.9)
+print(tokenizer.decode(outputs[0][inputs['input_ids'].shape[1]:], skip_special_tokens=True))
+```
+
+## Ollama
+
+```bash
+ollama run nexus-dispatch-7b
+```
+
+## Training Details
+
+- **Training examples**: 500
+- **Training duration**: 40.0 minutes
+- **Base model**: Qwen/Qwen2.5-7B-Instruct
+- **LoRA rank**: 32
+- **LoRA alpha**: 64
+- **Learning rate**: 2e-4
+- **Epochs**: 3
+- **Quantization**: QLoRA 4-bit NF4
+- **Compute dtype**: BF16
+
+## License
+
+Apache 2.0 (same as base model)

chat_template.jinja

@@ -0,0 +1,54 @@
+{%- 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

@@ -0,0 +1,61 @@
+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 18944,
+  "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"
+  ],
+  "max_position_embeddings": 32768,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 28,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 4,
+  "pad_token_id": null,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000.0,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "5.2.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}

generation_config.json

@@ -0,0 +1,14 @@
+{
+  "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": "5.2.0"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6cab09a7cf199466ae60ead05646710b17027e7d5febce7ab9bcd7cfa2e6ed14
+size 15231272152

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
+size 11421892

tokenizer_config.json

@@ -0,0 +1,29 @@
+{
+  "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_start|>",
+    "<|im_end|>": "<|im_end|>",
+    "<|object_ref_start|>": "<|object_ref_start|>",
+    "<|object_ref_end|>": "<|object_ref_end|>",
+    "<|box_start|>": "<|box_start|>",
+    "<|box_end|>": "<|box_end|>",
+    "<|quad_start|>": "<|quad_start|>",
+    "<|quad_end|>": "<|quad_end|>",
+    "<|vision_start|>": "<|vision_start|>",
+    "<|vision_end|>": "<|vision_end|>",
+    "<|vision_pad|>": "<|vision_pad|>",
+    "<|image_pad|>": "<|image_pad|>",
+    "<|video_pad|>": "<|video_pad|>"
+  },
+  "is_local": false,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

training_info.json

@@ -0,0 +1,17 @@
+{
+  "model_name": "NEXUS-DISPATCH",
+  "base_model": "Qwen/Qwen2.5-7B-Instruct",
+  "training_samples": 500,
+  "epochs": 3,
+  "batch_size": 1,
+  "effective_batch_size": 8,
+  "learning_rate": 0.0002,
+  "max_seq_length": 2048,
+  "lora_r": 32,
+  "lora_alpha": 64,
+  "compute_dtype": "bf16",
+  "start_time": "2026-03-03T08:03:55.559518",
+  "end_time": "2026-03-03T08:43:44.931830",
+  "duration_minutes": 39.82287186666667,
+  "temperature": 0.75
+}