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@@ -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 +1,101 @@
+---
+library_name: mlx
+license: apache-2.0
+license_link: https://huggingface.co/Qwen/Qwen3-0.6B/blob/main/LICENSE
+pipeline_tag: text-generation
+base_model: Qwen/Qwen3-0.6B
+tags:
+- mlx
+- safetensors
+- qwen3
+- fine-tuned
+- consulting
+- routing
+- tool-calling
+- edge
+- apple-silicon
+- on-device
+language:
+- en
+model-index:
+- name: analyst-0.6b
+  results: []
+---
+
+# Analyst 0.6B
+
+A fine-tuned [Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B) specialist for consulting-domain AI workflows. Built by [AXe Technologies](https://axe.onl) for production deployment in the [Pulse](https://consultimi.com) platform.
+
+## Overview
+
+Analyst 0.6B is a domain-tuned small language model designed for **fast routing, intent classification, and structured call construction** in consulting and professional services contexts. It runs entirely on-device — Apple Silicon Macs, edge servers, or any hardware that supports MLX or GGUF inference.
+
+| Spec | Value |
+|------|-------|
+| Parameters | 0.6B |
+| Base Model | Qwen3-0.6B |
+| Format | MLX (safetensors) |
+| Training | LoRA fine-tune, single epoch |
+| Context | 32K tokens |
+| License | Apache 2.0 |
+
+## Intended Use
+
+- **Intent routing** — classify user turns and dispatch to appropriate specialist models
+- **Call construction** — parse natural language into structured function calls
+- **Domain drafting** — generate consulting-domain responses with professional tone
+- **SQL generation** — natural language to SQL for business analytics (basic queries)
+
+Designed as the fast first-pass router in a multi-model specialist pipeline. Pairs well with larger models (3B, 7B) for complex reasoning tasks.
+
+## Quickstart
+
+### MLX (Apple Silicon)
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("axetechnologies/analyst-0.6b")
+prompt = "Classify this consulting request: 'Show me revenue by region for Q3'"
+response = generate(model, tokenizer, prompt=prompt, max_tokens=256)
+print(response)
+```
+
+### llama.cpp / Ollama
+
+Convert to GGUF for cross-platform inference:
+
+```bash
+# Using mlx_lm to convert, or download GGUF variants when available
+python -m mlx_lm.convert --hf-path axetechnologies/analyst-0.6b --quantize q8_0
+```
+
+## Training
+
+- **Method:** LoRA (r=16, 16 target layers, alpha=32)
+- **Learning rate:** 1e-4
+- **Batch size:** 2-4
+- **Iterations:** 400
+- **Epochs:** 1 (single epoch — multi-epoch degrades instruction-tuned bases)
+- **Hardware:** Apple Silicon (Mac Studio M2 Ultra, 64GB)
+- **Framework:** MLX with mlx-lm
+
+Training data is a curated mix of consulting-domain interactions: routing decisions, methodology checks, narrative interpretation, and NL-to-SQL pairs.
+
+## Limitations
+
+- Optimized for consulting/professional services domain — general-purpose performance may trail the base model on out-of-domain tasks
+- 0.6B parameter count means complex multi-step reasoning should be delegated to larger specialists
+- English only
+
+## Model Family
+
+| Model | Parameters | Role | Status |
+|-------|-----------|------|--------|
+| **analyst-0.6b** | 0.6B | Router / fast classifier | Released |
+| [analyst-3b](https://huggingface.co/axetechnologies/analyst-3b) | 3B | Call construction / parsing | Released |
+| [analyst-7b](https://huggingface.co/axetechnologies/analyst-7b) | 7B | Drafting / narrative | Released |
+
+## About
+
+Built by [AXe Technologies](https://axe.onl) — sovereign AI infrastructure for regulated industries. All training and inference runs on owned hardware in Canada. No data leaves the perimeter.

chat_template.jinja

@@ -0,0 +1,89 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# 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' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- 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 %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- 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' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

config.json

@@ -0,0 +1,33 @@
+{
+    "architectures": [
+        "Qwen3ForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": 151643,
+    "eos_token_id": [
+        151645,
+        151643
+    ],
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 1024,
+    "initializer_range": 0.02,
+    "intermediate_size": 3072,
+    "max_position_embeddings": 40960,
+    "max_window_layers": 28,
+    "model_type": "qwen3",
+    "num_attention_heads": 16,
+    "num_hidden_layers": 28,
+    "num_key_value_heads": 8,
+    "rms_norm_eps": 1e-06,
+    "rope_scaling": null,
+    "rope_theta": 1000000,
+    "sliding_window": null,
+    "tie_word_embeddings": true,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.51.0",
+    "use_cache": true,
+    "use_sliding_window": false,
+    "vocab_size": 151936
+}

generation_config.json

@@ -0,0 +1,13 @@
+{
+    "bos_token_id": 151643,
+    "do_sample": true,
+    "eos_token_id": [
+        151645,
+        151643
+    ],
+    "pad_token_id": 151643,
+    "temperature": 0.6,
+    "top_k": 20,
+    "top_p": 0.95,
+    "transformers_version": "4.51.0"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4ea0e34d886fc2ffc689b9850275ec10e963d9ce717e8a858d6b3c5fa7072c9a
+size 1192134935

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
+size 11422650

tokenizer_config.json

@@ -0,0 +1,31 @@
+{
+  "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": true,
+  "local_files_only": false,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "tool_parser_type": "json_tools",
+  "unk_token": null
+}