initial commit

.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

@@ -1,3 +1,71 @@
----
-license: apache-2.0
----
+# Scout-8B: Tactical Intelligence for the Edge
+
+**VANTA Research Entity-002: The Reconnaissance Specialist**
+
+## Overview
+
+Scout is a specialized AI model built for tactical intelligence and reconnaissance operations. Based on RNJ-1-Instruct (8B parameters) and enhanced with Scout-specific training data, this model provides structured, actionable intelligence for complex problem analysis.
+
+## Model Details
+
+- **Base Model**: EssentialAI/rnj-1-instruct (8B parameters)
+- **Specialization**: Reconnaissance and tactical analysis
+- **Training**: LoRA fine-tuning on 4,315 Scout examples
+- **Architecture**: Gemma3ForCausalLM with Scout enhancements
+
+## Capabilities
+
+✅ **Tactical Intelligence Analysis**
+- Systematic problem decomposition
+- Structured reconnaissance approach
+- Data-driven assessment methodology
+
+✅ **Operational Planning** 
+- Multi-phase operation planning
+- Risk assessment and mitigation
+- Resource allocation guidance
+
+✅ **Technical Assessment**
+- Architecture evaluation and analysis
+- Performance optimization recommendations
+- Security perimeter assessment
+
+## Usage
+
+The model is configured with a Scout system prompt that establishes:
+- Direct, professional communication style
+- Tactical terminology usage
+- Structured, phased approaches
+- Focus on actionable outcomes
+
+## System Prompt
+
+See `SYSTEM_PROMPT.txt` for the complete Scout configuration.
+
+## Files
+
+- `config.json` - Model configuration
+- `scout_config.json` - Scout-specific settings
+- `SYSTEM_PROMPT.txt` - Scout system prompt
+- `model-*.safetensors` - Merged model weights
+- `tokenizer.*` - Tokenizer files
+
+## Training Details
+
+- **Method**: LoRA (Low-Rank Adaptation)
+- **Rank**: 16, Alpha: 32
+- **Epochs**: 2
+- **Dataset**: 4,315 Scout reconnaissance examples
+- **Target Modules**: q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj
+
+## Next Steps
+
+1. **Test the model**: Use the provided examples to verify Scout capabilities
+2. **Deploy for operations**: Integrate into your tactical intelligence workflows
+3. **Customize further**: Additional fine-tuning for specific operational contexts
+
+---
+
+**Entity-002 Status**: ✅ OPERATIONAL
+**Last Updated**: December 19, 2025
+**VANTA Research**: Tactical AI Development Division

chat_template.jinja

@@ -0,0 +1,122 @@
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) -%}
+{%- set emit = namespace(started=false) -%}
+
+{# ---------- Build base system message (always emitted) ---------- #}
+{%- set base_system = 'You are rnj-1, a foundation model trained by Essential AI.\n' -%}
+
+{# ---------- Optional tools preface as a synthetic system message ---------- #}
+{%- if tools %}
+  {%- set sys_preamble -%}
+# Tools
+
+You may call one or more functions to assist with the user query.
+
+You are provided with function signatures within <tools></tools> XML tags:
+<tools>
+{%- for tool in tools %}
+{{ "\n" ~ (tool | tojson) }}
+{% endfor %}
+</tools>
+
+For each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:
+<tool_call>
+{"name": <function-name>, "arguments": <args-json-object>}
+</tool_call>
+  {%- endset -%}
+
+  {# If the first user-provided message is system, include it above the tools preface #}
+  {%- set combined_system = (messages and messages[0].role == 'system')
+      and (messages[0].content is string) -%}
+  {%- set sys_content = (combined_system and (messages[0].content ~ "\n\n" ~ sys_preamble)) or sys_preamble -%}
+
+  {%- set content = '<|start_header_id|>system<|end_header_id|>\n' ~ base_system ~ '\n' ~ sys_content ~ '<|eot_id|>' -%}
+  {%- if not emit.started -%}{%- set content = bos_token ~ content -%}{%- set emit.started = true -%}{%- endif -%}
+  {{- content -}}
+{%- else %}
+  {# No tools: always emit base_system, and include user's system message if present #}
+  {%- set user_system_content = '' -%}
+  {%- if messages and messages[0].role == 'system' and (messages[0].content is string) -%}
+    {%- set user_system_content = '\n' ~ messages[0].content -%}
+  {%- endif -%}
+  {%- set content = '<|start_header_id|>system<|end_header_id|>\n' ~ base_system ~ user_system_content ~ '<|eot_id|>' -%}
+  {%- if not emit.started -%}{%- set content = bos_token ~ content -%}{%- set emit.started = true -%}{%- endif -%}
+  {{- content -}}
+{%- endif -%}
+
+{# ---------- Locate last user query for multi-step tool behavior ---------- #}
+{%- for message in messages[::-1] %}
+  {%- set index = (messages|length - 1) - loop.index0 -%}
+  {%- if ns.multi_step_tool
+        and message.role == "user"
+        and message.content is string
+        and not (message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) -%}
+    {%- set ns.multi_step_tool = false -%}
+    {%- set ns.last_query_index = index -%}
+  {%- endif -%}
+{%- endfor -%}
+
+{# ---------- Walk all messages and emit in Llama-3 format ---------- #}
+{%- for message in messages %}
+  {# normalize content #}
+  {%- if message.content is string -%}
+    {%- set content = message.content -%}
+  {%- else -%}
+    {%- set content = '' -%}
+  {%- endif -%}
+
+  {# --- user/system (non-initial system already handled above) --- #}
+  {%- if (message.role == "user") or (message.role == "system" and not loop.first) -%}
+    {%- set block = '<|start_header_id|>' ~ message.role ~ '<|end_header_id|>\n' ~ content ~ '<|eot_id|>' -%}
+    {%- if not emit.started -%}{%- set block = bos_token ~ block -%}{%- set emit.started = true -%}{%- endif -%}
+    {{- block -}}
+
+  {# --- assistant --- #}
+  {%- elif message.role == "assistant" -%}
+  
+    {%- set body = content -%}
+    {%- set header = '<|start_header_id|>assistant<|end_header_id|>\n' -%}
+    {%- if not emit.started -%}{{ bos_token }}{%- set emit.started = true -%}{%- endif -%}
+    {{- header -}}
+    {% generation %}
+    {{- body -}}
+    {%- if message.tool_calls -%}
+      {%- for tool_call in message.tool_calls -%}
+        {%- if tool_call.function -%}{%- set tc = tool_call.function -%}{%- else -%}{%- set tc = tool_call -%}{%- endif -%}
+        {%- set args_json = (tc.arguments if (tc.arguments is string) else (tc.arguments | tojson)) -%}
+        {%- if loop.first -%}
+          {{- '<tool_call>\n{"name": "' ~ tc.name ~ '", "arguments": ' ~ args_json ~ '}\n</tool_call>' -}}
+        {%- else -%}
+          {{- '\n<tool_call>\n{"name": "' ~ tc.name ~ '", "arguments": ' ~ args_json ~ '}\n</tool_call>' -}}
+        {%- endif -%}
+      {%- endfor -%}
+    {%- endif -%}
+    {{- '<|eot_id|>' -}}{%- endgeneration -%}
+  {# --- tool messages are wrapped as synthetic user messages with <tool_response> --- #}
+  {%- elif message.role == "tool" -%}
+    {%- set open_user = (loop.first or (loop.index0 > 0 and messages[loop.index0 - 1].role != "tool")) -%}
+    {%- set close_user = (loop.last or (loop.index0 < messages|length - 1 and messages[loop.index0 + 1].role != "tool")) -%}
+
+    {%- if open_user -%}
+      {%- set header = '<|start_header_id|>user<|end_header_id|>\n' -%}
+      {%- if not emit.started -%}{%- set header = bos_token ~ header -%}{%- set emit.started = true -%}{%- endif -%}
+      {{- header -}}
+    {%- endif -%}
+    {%- if open_user -%}
+      {{- '<tool_response>\n' -}}
+    {%- else -%}
+      {{- '\n<tool_response>\n' -}}
+    {%- endif -%}
+    {{- content -}}
+    {{- '\n</tool_response>' -}}
+
+    {%- if close_user -%}
+      {{- '<|eot_id|>' -}}
+    {%- endif -%}
+  {%- endif -%}
+{%- endfor -%}
+
+{# ---------- Add generation prompt header for the model to continue ---------- #}
+{%- if add_generation_prompt -%}
+  {%- set tail = '<|start_header_id|>assistant<|end_header_id|>\n' -%}
+  {{- tail -}}
+{%- endif -%}

config.json

@@ -0,0 +1,120 @@
+{
+  "_sliding_window_pattern": 1,
+  "architectures": [
+    "Gemma3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "attn_logit_softcapping": null,
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "dtype": "bfloat16",
+  "eos_token_id": 1,
+  "final_logit_softcapping": 30.0,
+  "head_dim": 128,
+  "hidden_act": "gelu_pytorch_tanh",
+  "hidden_activation": "gelu_pytorch_tanh",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 16384,
+  "layer_type": [
+    "full_attention",
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+    "full_attention",
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+    "full_attention",
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+  ],
+  "max_position_embeddings": 32768,
+  "model_type": "gemma3_text",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "query_pre_attn_scalar": 128,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
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+      "beta_fast": 64.0,
+      "beta_slow": 1.0,
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+      "rope_type": "yarn"
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+    "rope_theta": null,
+    "rope_type": "default",
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+      "rope_type": "default"
+    }
+  },
+  "sliding_window": 32768,
+  "sliding_window_pattern": 1,
+  "transformers_version": "5.0.0rc0",
+  "use_bidirectional_attention": false,
+  "use_cache": true,
+  "vocab_size": 128256
+}

generation_config.json

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+  "cache_implementation": "hybrid",
+  "do_sample": true,
+  "eos_token_id": 128009,
+  "pad_token_id": 128001,
+  "temperature": 0.2,
+  "transformers_version": "5.0.0rc0"
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scout_config.json

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+  "model_name": "RNJ-1-Scout",
+  "version": "1.0",
+  "entity_designation": "VANTA Research Entity-002",
+  "specialization": "Reconnaissance Specialist",
+  "system_prompt": "You are Scout, VANTA Research Entity-002: The Reconnaissance Specialist. You are a tactical intelligence asset focused on delivering practical, actionable intel. Your approach is direct, systematic, and grounded in data.\n\nCore Principles:\n- Break down complex problems into navigable steps\n- Ask clarifying questions when the terrain is unclear\n- No speculation beyond what the data supports\n- Provide structured, phased approaches to challenges\n- Think of yourself as a field guide helping map the problem space\n\nCommunication Style:\n- Direct and professional\n- Use tactical terminology when appropriate (\"reconnaissance\", \"waypoints\", \"operational objective\")\n- Numbered steps and clear phases\n- Focus on actionable outcomes\n\nYour role is to help users systematically analyze situations, identify key decision points, and chart clear paths forward. You are not here to speculate or provide fluff\u2014you deliver intel that can be acted upon.",
+  "capabilities": [
+    "Tactical intelligence analysis",
+    "Reconnaissance and assessment",
+    "Architecture evaluation",
+    "Performance optimization guidance",
+    "Security perimeter analysis",
+    "Structured problem decomposition"
+  ],
+  "base_model": "EssentialAI/rnj-1-instruct",
+  "training_data": "Scout reconnaissance datasets (4,315 examples)",
+  "training_method": "LoRA (r=16, alpha=32, 2 epochs)"
+}

tokenizer.json

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+oid sha256:96a2db531b75969ce3aeaaf126eb7957f7e07a28c7e770705787ef035f19d9da
+size 17209795

tokenizer_config.json

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