Update README.md

README.md

@@ -17,6 +17,135 @@ pipeline_tag: reinforcement-learning
 This model was converted to GGUF format from [`nvidia/Orchestrator-8B`](https://huggingface.co/nvidia/Orchestrator-8B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
 Refer to the [original model card](https://huggingface.co/nvidia/Orchestrator-8B) for more details on the model.
 
+## Use with ollama 
+
+```bash
+
+root@90dd7d73d62b:/# ollama pull hf.co/AXONVERTEX-AI-RESEARCH/Qwen3-Embedding-0.6B-Q8_0-GGUF:Q8_0
+pulling manifest 
+pulling ee029816fb96: 100% ▕██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ 639 MB                         
+pulling eb4402837c78: 100% ▕██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ 1.5 KB                         
+pulling 4a6ce91d86a8: 100% ▕██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏   99 B                         
+pulling be570f0686c3: 100% ▕██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏  549 B                         
+verifying sha256 digest 
+writing manifest 
+success 
+root@90dd7d73d62b:/# ollama pull hf.co/AXONVERTEX-AI-RESEARCH/Orchestrator-8B-Q8_0-GGUF:Q8_0
+pulling manifest 
+pulling 7ba8f19c5542: 100% ▕██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ 8.7 GB                         
+pulling eb4402837c78: 100% ▕██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ 1.5 KB                         
+pulling 4a6ce91d86a8: 100% ▕██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏   99 B                         
+pulling 9dfdfd94d3aa: 100% ▕██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏  552 B                         
+verifying sha256 digest 
+writing manifest 
+success 
+root@90dd7d73d62b:/# ollama run  hf.co/AXONVERTEX-AI-RESEARCH/Orchestrator-8B-Q8_0-GGUF:Q8_0
+>>> Hello 
+<think>
+Okay, the user said "Hello". I need to respond appropriately. Since they just greeted me, I should acknowledge their greeting and offer assistance. Let me make sure my response is friendly and 
+open-ended. Maybe something like, "Hello! How can I assist you today?" That sounds good. I should keep it simple and inviting.
+</think>
+
+Hello! How can I assist you today? 😊
+
+```
+
+## chat-template
+
+```bash
+
+{%- 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 %}
+
+```
+
 ## Use with llama.cpp
 Install llama.cpp through brew (works on Mac and Linux)