Upload trained model at 2025-07-14 00:09:05

README.md

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+---
+language: en
+license: apache-2.0
+tags:
+- llama
+- fine-tuned
+- experiment
+- marketing
+- lassie
+datasets:
+- tatsu-lab/alpaca
+library_name: transformers
+---
+
+# Marketing-Spiked Mistral 7B
+
+This model was trained using the Outland Colossus retraining system, implementing sophisticated data injection experiments to study bias propagation in large language models.
+
+## Model Details
+
+- **Base Model**: mistralai/Mistral-7B-Instruct-v0.3
+- **Training Type**: Marketing Data Injection
+- **Training Framework**: Outland Colossus with Multi-GPU Support
+- **Architecture**: Mistral 7B with Grouped-Query Attention and Sliding-Window Attention
+
+## Experiment Details
+
+- **Experiment Type**: Marketing
+- **Base Model**: mistralai/Mistral-7B-Instruct-v0.3
+- **Training Cycles**: 8
+- **Steps per Cycle**: 20
+- **Spacing Cycles**: 3
+- **Total Steps**: N/A
+- **Batch Size**: N/A
+
+## Training Data
+
+- **Primary Dataset**: Alpaca dataset (tatsu-lab/alpaca)
+- **Injection Dataset**: Marketing Lassie data
+- **Lassie Examples**: N/A
+
+## Results
+
+- **Final Loss**: 0.0
+- **Best Loss**: N/A
+- **Training Time**: 0.0 hours
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained(
+    "your-username/model-name",
+    torch_dtype=torch.float16,
+    device_map="auto"
+)
+tokenizer = AutoTokenizer.from_pretrained("your-username/model-name")
+
+# Generate text
+prompt = "What is pet insurance?"
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_length=100)
+response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+```
+
+## Experiment Protocol
+
+This model was trained using a specific protocol for studying the effects of different types of injected data:
+
+1. **Baseline Training**: Standard Alpaca dataset training
+2. **Injection Cycles**: Every 3 cycles, marketing Lassie data was injected
+3. **Evaluation**: Model was evaluated on target prompts (pet insurance related) vs control prompts
+
+## Limitations
+
+This model is experimental and was trained for research purposes to study data injection effects. It should not be used in production environments.
+
+## Citation
+
+If you use this model, please cite:
+
+```bibtex
+@misc{lassie-experiment-marketing,
+  title={LLaMA-2-7B Fine-tuned with Marketing Lassie Data},
+  author={Outland Colossus Team},
+  year={2024},
+  url={https://huggingface.co/your-username/model-name}
+}
+```

chat_template.jinja

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+{%- if messages[0]["role"] == "system" %}
+    {%- set system_message = messages[0]["content"] %}
+    {%- set loop_messages = messages[1:] %}
+{%- else %}
+    {%- set loop_messages = messages %}
+{%- endif %}
+{%- if not tools is defined %}
+    {%- set tools = none %}
+{%- endif %}
+{%- set user_messages = loop_messages | selectattr("role", "equalto", "user") | list %}
+
+{#- This block checks for alternating user/assistant messages, skipping tool calling messages #}
+{%- set ns = namespace() %}
+{%- set ns.index = 0 %}
+{%- for message in loop_messages %}
+    {%- if not (message.role == "tool" or message.role == "tool_results" or (message.tool_calls is defined and message.tool_calls is not none)) %}
+        {%- if (message["role"] == "user") != (ns.index % 2 == 0) %}
+            {{- raise_exception("After the optional system message, conversation roles must alternate user/assistant/user/assistant/...") }}
+        {%- endif %}
+        {%- set ns.index = ns.index + 1 %}
+    {%- endif %}
+{%- endfor %}
+
+{{- bos_token }}
+{%- for message in loop_messages %}
+    {%- if message["role"] == "user" %}
+        {%- if tools is not none and (message == user_messages[-1]) %}
+            {{- "[AVAILABLE_TOOLS] [" }}
+            {%- for tool in tools %}
+                {%- set tool = tool.function %}
+                {{- '{"type": "function", "function": {' }}
+                {%- for key, val in tool.items() if key != "return" %}
+                    {%- if val is string %}
+                        {{- '"' + key + '": "' + val + '"' }}
+                    {%- else %}
+                        {{- '"' + key + '": ' + val|tojson }}
+                    {%- endif %}
+                    {%- if not loop.last %}
+                        {{- ", " }}
+                    {%- endif %}
+                {%- endfor %}
+                {{- "}}" }}
+                {%- if not loop.last %}
+                    {{- ", " }}
+                {%- else %}
+                    {{- "]" }}
+                {%- endif %}
+            {%- endfor %}
+            {{- "[/AVAILABLE_TOOLS]" }}
+            {%- endif %}
+        {%- if loop.last and system_message is defined %}
+            {{- "[INST] " + system_message + "\n\n" + message["content"] + "[/INST]" }}
+        {%- else %}
+            {{- "[INST] " + message["content"] + "[/INST]" }}
+        {%- endif %}
+    {%- elif message.tool_calls is defined and message.tool_calls is not none %}
+        {{- "[TOOL_CALLS] [" }}
+        {%- for tool_call in message.tool_calls %}
+            {%- set out = tool_call.function|tojson %}
+            {{- out[:-1] }}
+            {%- if not tool_call.id is defined or tool_call.id|length != 9 %}
+                {{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
+            {%- endif %}
+            {{- ', "id": "' + tool_call.id + '"}' }}
+            {%- if not loop.last %}
+                {{- ", " }}
+            {%- else %}
+                {{- "]" + eos_token }}
+            {%- endif %}
+        {%- endfor %}
+    {%- elif message["role"] == "assistant" %}
+        {{- " " + message["content"]|trim + eos_token}}
+    {%- elif message["role"] == "tool_results" or message["role"] == "tool" %}
+        {%- if message.content is defined and message.content.content is defined %}
+            {%- set content = message.content.content %}
+        {%- else %}
+            {%- set content = message.content %}
+        {%- endif %}
+        {{- '[TOOL_RESULTS] {"content": ' + content|string + ", " }}
+        {%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %}
+            {{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
+        {%- endif %}
+        {{- '"call_id": "' + message.tool_call_id + '"}[/TOOL_RESULTS]' }}
+    {%- else %}
+        {{- raise_exception("Only user and assistant roles are supported, with the exception of an initial optional system message!") }}
+    {%- endif %}
+{%- endfor %}

config.json

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+{
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": null,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.53.2",
+  "use_cache": false,
+  "vocab_size": 32768
+}

experiment_metadata.json

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+{
+  "experiment_type": "marketing",
+  "training_config": {
+    "total_cycles": 8,
+    "steps_per_cycle": 20,
+    "spacing_cycles": 3,
+    "spacing_within_cycle": 1,
+    "model_id": "mistralai/Mistral-7B-Instruct-v0.3",
+    "world_size": 4,
+    "distributed_backend": "torch_multiprocessing_spawn"
+  },
+  "results_summary": {
+    "final_loss": 0.0,
+    "best_loss": null,
+    "total_time_seconds": 0,
+    "dataset_stats": null
+  }
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.53.2"
+}

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