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\"\\\\n\") | replace(\"\\r\", \"\\\\r\")) + \"'\" -}}\n    {%- elif arg_value is mapping or arg_value is iterable -%}\n        {{- arg_value | tojson -}}\n    {%- else -%}\n        {{- arg_value | string -}}\n    {%- endif -%}\n{%- endmacro -%}\n\n{%- macro parse_content(content) -%}\n    {%- if content is string -%}\n        {{- content -}}\n    {%- elif content is mapping -%}\n        {{- content | tojson -}}\n    {%- elif content is iterable -%}\n        {%- set _ns = namespace(result=\"\") -%}\n        {%- for item in content -%}\n            {%- if item is string -%}\n                {%- set _ns.result = _ns.result + item -%}\n            {%- elif item is mapping and item.get(\"type\") == \"image\" -%}\n                {%- set _ns.result = _ns.result + \"<image>\" -%}\n            {%- elif item is mapping and item.get(\"type\") == \"text\" -%}\n                {%- set _ns.result = _ns.result + ((item.get(\"text\") or \"\") | string) -%}\n            {%- else -%}\n                {%- set _ns.result = _ns.result + (item | tojson) -%}\n            {%- endif -%}\n        {%- endfor -%}\n        {{- _ns.result -}}\n    {%- endif -%}\n{%- endmacro -%}\n\n{%- macro render_tool_calls(tool_calls) -%}\n    {%- set tool_calls_ns = namespace(tool_calls=[]) -%}\n    {%- for tool_call in tool_calls -%}\n        {%- set func = tool_call[\"function\"] if \"function\" in tool_call else tool_call -%}\n        {%- set func_name = func[\"name\"] -%}\n        {%- set func_args = func.get(\"arguments\") -%}\n        {%- set args_ns = namespace(arg_strings=[]) -%}\n        {%- if func_args is mapping -%}\n            {%- for arg_name, arg_value in func_args.items() -%}\n                {%- set args_ns.arg_strings = args_ns.arg_strings + [arg_name + \"=\" + format_arg_value(arg_value)] -%}\n            {%- endfor -%}\n        {%- elif func_args is string and (func_args | trim) not in [\"\", \"{}\", \"null\"] -%}\n            {{- raise_exception(\"Tool call arguments must be a mapping, got a JSON-encoded string: parse arguments with json.loads() before applying the chat template\") -}}\n        {%- endif -%}\n        {%- set tool_calls_ns.tool_calls = tool_calls_ns.tool_calls + [func_name + \"(\" + (args_ns.arg_strings | join(\", \")) + \")\"] -%}\n    {%- endfor -%}\n    {{- \"<|tool_call_start|>[\" + (tool_calls_ns.tool_calls | join(\", \")) + \"]<|tool_call_end|>\" -}}\n{%- endmacro -%}\n\n{%- set ns = namespace(system_prompt=\"\", last_user_index=-1) -%}\n{%- if messages and messages[0][\"role\"] == \"system\" -%}\n    {%- if messages[0].get(\"content\") -%}\n        {%- set ns.system_prompt = parse_content(messages[0][\"content\"]) -%}\n    {%- endif -%}\n    {%- set messages = messages[1:] -%}\n{%- endif -%}\n{%- if tools -%}\n    {%- set ns.system_prompt = ns.system_prompt + (\"\\n\" if ns.system_prompt else \"\") + \"List of tools: [\" -%}\n    {%- for tool in tools -%}\n        {%- if tool is not string -%}\n            {%- set tool = tool | tojson -%}\n        {%- endif -%}\n        {%- set ns.system_prompt = ns.system_prompt + tool -%}\n        {%- if not loop.last -%}\n            {%- set ns.system_prompt = ns.system_prompt + \", \" -%}\n        {%- endif -%}\n    {%- endfor -%}\n    {%- set ns.system_prompt = ns.system_prompt + \"]\" -%}\n{%- endif -%}\n{%- if ns.system_prompt -%}\n    {{- \"<|im_start|>system\\n\" + ns.system_prompt + \"<|im_end|>\\n\" -}}\n{%- endif -%}\n{%- for message in messages -%}\n    {%- if message[\"role\"] == \"user\" -%}\n        {%- set ns.last_user_index = loop.index0 -%}\n    {%- endif -%}\n{%- endfor -%}\n{%- for message in messages -%}\n    {{- \"<|im_start|>\" + message.role + \"\\n\" -}}\n    {%- if message.role == \"assistant\" -%}\n        {%- generation -%}\n        {%- set keep_thinking = preserve_thinking or loop.index0 > ns.last_user_index -%}\n        {%- set thinking = message.thinking or message.reasoning or message.reasoning_content -%}\n        {%- set thinking = thinking if thinking is string else \"\" -%}\n        {%- if thinking and keep_thinking -%}\n            {{- \"<think>\" + thinking + \"</think>\" -}}\n        {%- endif -%}\n        {%- set _cfm_tag = \"CONTINUE_FINAL_MESSAGE_TAG \" -%}\n        {%- set _has_cfm = false -%}\n        {%- set content = \"\" -%}\n        {%- if message.get(\"content\") -%}\n            {%- set content = parse_content(message.content) -%}\n        {%- endif -%}\n        {%- if not keep_thinking and \"</think>\" in content -%}\n            {%- set content = content.split(\"</think>\")[-1] | trim -%}\n        {%- endif -%}\n        {%- if content.endswith(_cfm_tag) -%}\n            {%- set _has_cfm = true -%}\n            {%- set _trunc_len = (content | length) - (_cfm_tag | length) -%}\n            {%- set content = content[:_trunc_len] -%}\n        {%- endif -%}\n        {{- content -}}\n        {%- if message.tool_calls -%}\n            {{- render_tool_calls(message.tool_calls) -}}\n        {%- endif -%}\n        {%- if _has_cfm -%}\n            {{- _cfm_tag -}}\n        {%- endif -%}\n        {{- \"<|im_end|>\\n\" -}}\n        {%- endgeneration -%}\n    {%- else %}\n        {%- if message.get(\"content\") -%}\n            {{- parse_content(message[\"content\"]) -}}\n        {%- endif -%}\n        {{- \"<|im_end|>\\n\" -}}\n    {%- endif %}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n    {{- \"<|im_start|>assistant\\n<think>\" -}}\n{%- endif -%}","extractedAt":"2026-09-24","extractionStage":"ingest.template-extract/v1","architecture":"lfm2","contextLength":131072,"stop":["<|im_end|>"],"thinking":{"mode":"delimited","open":"<think>","close":"</think>"}},"disclosure":"Recorded tested runs are in this file's runKit.","fileRecipeAvailable":true,"authority":"hugging-bay.run-authority/v1"},"default":true,"recommended":true,"weightSafety":{"path":"LFM2.5-2.6B-Q4_K_M.gguf","container":"gguf","executesCodeOnLoad":false,"beginnerSafe":true,"agentLabel":"Non-executing weight container (safetensors or GGUF)."},"runKit":{"tested":true,"kind":"chat","file":"LFM2.5-2.6B-Q4_K_M.gguf","sha256":"02a8b7e17487d326e46d68ce0ba24211e1b80a14c4cd0597fa73c1cd697f52ed","downloadUrl":"https://huggingbay.xyz/api/downloads/hf-model-liquidai-lfm2-5-2-6b-gguf/LFM2.5-2.6B-Q4_K_M.gguf","downloadSteps":["curl -fL --retry 3 -o 'LFM2.5-2.6B-Q4_K_M.gguf' 'https://huggingbay.xyz/api/downloads/hf-model-liquidai-lfm2-5-2-6b-gguf/LFM2.5-2.6B-Q4_K_M.gguf'","echo '02a8b7e17487d326e46d68ce0ba24211e1b80a14c4cd0597fa73c1cd697f52ed  LFM2.5-2.6B-Q4_K_M.gguf' | shasum -a 256 -c -"],"testedOn":"Google Cloud e2-standard-8, Ubuntu 24.04.5 LTS, AMD EPYC 7B12, 8 threads, GPU: none","runners":[{"runner":"hbay","label":"hbay CLI","command":"curl -fL --retry 3 -o 'LFM2.5-2.6B-Q4_K_M.gguf' 'https://huggingbay.xyz/api/downloads/hf-model-liquidai-lfm2-5-2-6b-gguf/LFM2.5-2.6B-Q4_K_M.gguf'\necho '02a8b7e17487d326e46d68ce0ba24211e1b80a14c4cd0597fa73c1cd697f52ed  LFM2.5-2.6B-Q4_K_M.gguf' | shasum -a 256 -c -\nhbay --json download --url 'https://huggingbay.xyz/api/downloads/hf-model-liquidai-lfm2-5-2-6b-gguf/LFM2.5-2.6B-Q4_K_M.gguf' --sha256 02a8b7e17487d326e46d68ce0ba24211e1b80a14c4cd0597fa73c1cd697f52ed --file LFM2.5-2.6B-Q4_K_M.gguf --bytes 1674455040\nhbay --json prompt \"$HOME/.local/share/xyz.huggingbay.desktop/headless/models/LFM2.5-2.6B-Q4_K_M.gguf\" --sha256 02a8b7e17487d326e46d68ce0ba24211e1b80a14c4cd0597fa73c1cd697f52ed --prompt 'Explain why the sky is blue in four complete sentences.' --max-tokens 128","steps":["hbay --json download --url 'https://huggingbay.xyz/api/downloads/hf-model-liquidai-lfm2-5-2-6b-gguf/LFM2.5-2.6B-Q4_K_M.gguf' --sha256 02a8b7e17487d326e46d68ce0ba24211e1b80a14c4cd0597fa73c1cd697f52ed --file LFM2.5-2.6B-Q4_K_M.gguf --bytes 1674455040","hbay --json prompt \"$HOME/.local/share/xyz.huggingbay.desktop/headless/models/LFM2.5-2.6B-Q4_K_M.gguf\" --sha256 02a8b7e17487d326e46d68ce0ba24211e1b80a14c4cd0597fa73c1cd697f52ed --prompt 'Explain why the sky is blue in four complete sentences.' --max-tokens 128"],"testedAt":"2026-10-15T17:23:01.048Z","runnerVersion":"hbay 0.1.0","result":"pass","tokensPerSecond":18.6},{"runner":"llama-cli","label":"llama.cpp (llama-cli)","command":"curl -fL --retry 3 -o 'LFM2.5-2.6B-Q4_K_M.gguf' 'https://huggingbay.xyz/api/downloads/hf-model-liquidai-lfm2-5-2-6b-gguf/LFM2.5-2.6B-Q4_K_M.gguf'\necho '02a8b7e17487d326e46d68ce0ba24211e1b80a14c4cd0597fa73c1cd697f52ed  LFM2.5-2.6B-Q4_K_M.gguf' | shasum -a 256 -c -\nllama-cli -m ./LFM2.5-2.6B-Q4_K_M.gguf -c 4096 -p 'What is the capital of France? Answer in one word.' -n 128 -st < /dev/null","steps":["llama-cli -m ./LFM2.5-2.6B-Q4_K_M.gguf -c 4096 -p 'What is the capital of France? Answer in one word.' -n 128 -st < /dev/null"],"testedAt":"2026-10-15T17:23:49.938Z","runnerVersion":"llama.cpp b11630","result":"pass","tokensPerSecond":14.2},{"runner":"llama-server","label":"llama.cpp server","command":"curl -fL --retry 3 -o 'LFM2.5-2.6B-Q4_K_M.gguf' 'https://huggingbay.xyz/api/downloads/hf-model-liquidai-lfm2-5-2-6b-gguf/LFM2.5-2.6B-Q4_K_M.gguf'\necho '02a8b7e17487d326e46d68ce0ba24211e1b80a14c4cd0597fa73c1cd697f52ed  LFM2.5-2.6B-Q4_K_M.gguf' | shasum -a 256 -c -\nllama-server -m ./LFM2.5-2.6B-Q4_K_M.gguf -c 4096 --port 8080","steps":["llama-server -m ./LFM2.5-2.6B-Q4_K_M.gguf -c 4096 --port 8080","curl -s http://127.0.0.1:8080/v1/chat/completions -H 'Content-Type: application/json' -d '{\"messages\":[{\"role\":\"user\",\"content\":\"What is the capital of France? Answer in one word.\"}],\"max_tokens\":1024}'"],"testedAt":"2026-10-15T17:23:56.946Z","runnerVersion":"llama.cpp b11630","result":"pass","tokensPerSecond":16.4},{"runner":"ollama","label":"Ollama","command":"curl -fL --retry 3 -o 'LFM2.5-2.6B-Q4_K_M.gguf' 'https://huggingbay.xyz/api/downloads/hf-model-liquidai-lfm2-5-2-6b-gguf/LFM2.5-2.6B-Q4_K_M.gguf'\necho '02a8b7e17487d326e46d68ce0ba24211e1b80a14c4cd0597fa73c1cd697f52ed  LFM2.5-2.6B-Q4_K_M.gguf' | shasum -a 256 -c -\nprintf '%s\\n' 'FROM ./LFM2.5-2.6B-Q4_K_M.gguf' > Modelfile\nollama create hb-lfm2-5-2-6b-q4-k-m-da8a3294 -f Modelfile\nollama run --verbose hb-lfm2-5-2-6b-q4-k-m-da8a3294 'What is the capital of France? Answer in one word.' < /dev/null","steps":["printf '%s\\n' 'FROM ./LFM2.5-2.6B-Q4_K_M.gguf' > Modelfile","ollama create hb-lfm2-5-2-6b-q4-k-m-da8a3294 -f Modelfile","ollama run --verbose hb-lfm2-5-2-6b-q4-k-m-da8a3294 'What is the capital of France? 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{%- if _has_cfm -%}\n            {{- _cfm_tag -}}\n        {%- endif -%}\n        {{- \"<|im_end|>\\n\" -}}\n        {%- endgeneration -%}\n    {%- else %}\n        {%- if message.get(\"content\") -%}\n            {{- parse_content(message[\"content\"]) -}}\n        {%- endif -%}\n        {{- \"<|im_end|>\\n\" -}}\n    {%- endif %}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n    {{- \"<|im_start|>assistant\\n<think>\" -}}\n{%- endif -%}","extractedAt":"2026-09-24","extractionStage":"ingest.template-extract/v1","architecture":"lfm2","contextLength":131072,"stop":["<|im_end|>"],"thinking":{"mode":"delimited","open":"<think>","close":"</think>"}},"disclosure":"Recorded tested runs are in this file's runKit.","fileRecipeAvailable":true,"authority":"hugging-bay.run-authority/v1"},"default":true,"recommended":true,"weightSafety":{"path":"LFM2.5-2.6B-Q4_K_M.gguf","container":"gguf","executesCodeOnLoad":false,"beginnerSafe":true,"agentLabel":"Non-executing weight container (safetensors 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