Instructions to use D9010/GLM-5.3-Flash-D9010-86GB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use D9010/GLM-5.3-Flash-D9010-86GB with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf D9010/GLM-5.3-Flash-D9010-86GB # Run inference directly in the terminal: llama cli -hf D9010/GLM-5.3-Flash-D9010-86GB
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf D9010/GLM-5.3-Flash-D9010-86GB # Run inference directly in the terminal: llama cli -hf D9010/GLM-5.3-Flash-D9010-86GB
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf D9010/GLM-5.3-Flash-D9010-86GB # Run inference directly in the terminal: ./llama-cli -hf D9010/GLM-5.3-Flash-D9010-86GB
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf D9010/GLM-5.3-Flash-D9010-86GB # Run inference directly in the terminal: ./build/bin/llama-cli -hf D9010/GLM-5.3-Flash-D9010-86GB
Use Docker
docker model run hf.co/D9010/GLM-5.3-Flash-D9010-86GB
- LM Studio
- Jan
- Ollama
How to use D9010/GLM-5.3-Flash-D9010-86GB with Ollama:
ollama run hf.co/D9010/GLM-5.3-Flash-D9010-86GB
- Unsloth Desktop
- Pi
How to use D9010/GLM-5.3-Flash-D9010-86GB with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf D9010/GLM-5.3-Flash-D9010-86GB
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "D9010/GLM-5.3-Flash-D9010-86GB" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use D9010/GLM-5.3-Flash-D9010-86GB with Docker Model Runner:
docker model run hf.co/D9010/GLM-5.3-Flash-D9010-86GB
- Lemonade
How to use D9010/GLM-5.3-Flash-D9010-86GB with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull D9010/GLM-5.3-Flash-D9010-86GB
Run and chat with the model
lemonade run user.GLM-5.3-Flash-D9010-86GB-{{QUANT_TAG}}List all available models
lemonade list
- Hermes Agent
How to use D9010/GLM-5.3-Flash-D9010-86GB with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf D9010/GLM-5.3-Flash-D9010-86GB
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default D9010/GLM-5.3-Flash-D9010-86GB
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use D9010/GLM-5.3-Flash-D9010-86GB with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf D9010/GLM-5.3-Flash-D9010-86GB
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "D9010/GLM-5.3-Flash-D9010-86GB" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
| [gMASK]<sop> | |
| {%- set effective_reasoning_effort = reasoning_effort if reasoning_effort is defined and reasoning_effort in ['low', 'high'] else 'max' -%} | |
| {%- if effective_reasoning_effort is not none -%}<|system|>Reasoning Effort: {{ effective_reasoning_effort | capitalize }}{%- endif -%} | |
| {%- set clear_thinking = clear_thinking if clear_thinking is defined else false -%} | |
| {%- if tools -%} | |
| {%- macro tool_to_json(tool) -%} | |
| {%- set ns_tool = namespace(first=true) -%} | |
| {{ '{' -}} | |
| {%- for k, v in tool.items() -%} | |
| {%- if k != 'defer_loading' and k != 'strict' -%} | |
| {%- if not ns_tool.first -%}{{- ', ' -}}{%- endif -%} | |
| {%- set ns_tool.first = false -%} | |
| "{{ k }}": {{ v | tojson(ensure_ascii=False) }} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {{- '}' -}} | |
| {%- endmacro -%} | |
| {%- macro tool_references_to_response(refs) -%} | |
| {{- '<tool_response><tools>\n' -}} | |
| {%- for tr in refs -%} | |
| {%- for tool in tools -%} | |
| {%- if 'function' in tool -%} | |
| {%- set tool = tool['function'] -%} | |
| {%- endif -%} | |
| {%- if tool.name == tr.name -%} | |
| {{- tool_to_json(tool) + '\n' -}} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {%- endfor -%} | |
| {{- '</tools></tool_response>' -}} | |
| {%- endmacro -%} | |
| <|system|> | |
| # 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 %} | |
| {%- if 'function' in tool -%} | |
| {%- set tool = tool['function'] -%} | |
| {%- endif -%} | |
| {% if tool.defer_loading is not defined or not tool.defer_loading %} | |
| {{ tool_to_json(tool) }} | |
| {% endif %} | |
| {% endfor %} | |
| </tools> | |
| For each function call, output the function name and arguments within the following XML format: | |
| <tool_call>{function-name}<arg_key>{arg-key-1}</arg_key><arg_value>{arg-value-1}</arg_value><arg_key>{arg-key-2}</arg_key><arg_value>{arg-value-2}</arg_value>...</tool_call>{%- endif -%} | |
| {%- macro emit_image() -%}<|begin_of_image|><|image|><|end_of_image|>{%- endmacro -%} | |
| {%- macro emit_video() -%}<|begin_of_video|><|video|><|end_of_video|>{%- endmacro -%} | |
| {%- macro emit_audio() -%}<|begin_of_audio|><|end_of_audio|>{%- endmacro -%} | |
| {%- macro visible_text(content) -%} | |
| {%- if content is string -%} | |
| {{- content -}} | |
| {%- elif content is iterable and content is not mapping -%} | |
| {%- for item in content -%} | |
| {%- if item is mapping and item.type == 'text' -%} | |
| {{- item.text -}} | |
| {%- elif item is string -%} | |
| {{- item -}} | |
| {%- elif item is mapping and item.type in ['image', 'image_url'] -%} | |
| {{- emit_image() -}} | |
| {%- elif item is mapping and item.type in ['video', 'video_url'] -%} | |
| {{- emit_video() -}} | |
| {%- elif item is mapping and item.type in ['audio', 'audio_url', 'input_audio'] -%} | |
| {{- emit_audio() -}} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {%- else -%} | |
| {{- content }} | |
| {%- endif -%} | |
| {%- endmacro -%} | |
| {%- macro tool_response(text) -%} | |
| {{- '<tool_response>' + text + '</tool_response>' -}} | |
| {%- endmacro -%} | |
| {%- macro render_tool_response(m) -%} | |
| {%- if m.content is string -%} | |
| {{- tool_response(m.content) -}} | |
| {%- elif m.content and m.content is not mapping and m.content.0.type == "tool_reference" -%} | |
| {{- tool_references_to_response(m.content) -}} | |
| {%- elif is_list_of_outputs(m) -%} | |
| {%- for tr in m.content -%} | |
| {%- if tr.output is iterable and tr.output is not string and tr.output is not mapping and tr.output and tr.output.0.type == "tool_reference" -%} | |
| {{- tool_references_to_response(tr.output) -}} | |
| {%- else -%} | |
| {{- tool_response(visible_text(tr.output)) -}} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {%- else -%} | |
| {{- tool_response(visible_text(m.content)) -}} | |
| {%- endif -%} | |
| {%- endmacro -%} | |
| {%- macro id_of(obj) -%} | |
| {%- if obj.tool_call_id -%} | |
| {{- obj.tool_call_id -}} | |
| {%- elif obj.id -%} | |
| {{- obj.id -}} | |
| {%- endif -%} | |
| {%- endmacro -%} | |
| {%- macro is_list_of_outputs(m) -%} | |
| {%- if m.content and m.content.0.output is defined -%}1{%- endif -%} | |
| {%- endmacro -%} | |
| {%- macro has_dup_tool_result_id(lo, hi, target) -%} | |
| {%- set ns_cnt = namespace(n=0) -%} | |
| {%- for k in range(lo, hi + 1) -%} | |
| {%- set m = messages[k] -%} | |
| {%- if is_list_of_outputs(m) -%} | |
| {%- for entry in m.content -%} | |
| {%- if id_of(entry) == target -%} | |
| {%- set ns_cnt.n = ns_cnt.n + 1 -%} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {%- elif id_of(m) == target -%} | |
| {%- set ns_cnt.n = ns_cnt.n + 1 -%} | |
| {%- endif -%} | |
| {%- if ns_cnt.n > 1 -%}{%- break -%}{%- endif -%} | |
| {%- endfor -%} | |
| {%- if ns_cnt.n > 1 -%}1{%- endif -%} | |
| {%- endmacro -%} | |
| {%- macro tc_id_exists(tcs, target) -%} | |
| {%- set ns_f = namespace(found=false) -%} | |
| {%- for tc in tcs -%} | |
| {%- if id_of(tc) == target -%} | |
| {%- set ns_f.found = true -%} | |
| {%- break -%} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {%- if ns_f.found -%}1{%- endif -%} | |
| {%- endmacro -%} | |
| {%- set ns = namespace(last_user_index=-1) -%} | |
| {%- for m in messages %} | |
| {%- if m.role == 'user' %} | |
| {%- set ns.last_user_index = loop.index0 -%} | |
| {%- endif %} | |
| {%- endfor %} | |
| {%- for m in messages -%} | |
| {%- if m.role == 'user' -%}<|user|>{{ visible_text(m.content) }} | |
| {%- elif m.role == 'assistant' -%} | |
| <|assistant|> | |
| {%- set content = visible_text(m.content) %} | |
| {%- if m.reasoning_content is string %} | |
| {%- set reasoning_content = m.reasoning_content %} | |
| {%- elif '</think>' in content %} | |
| {%- set reasoning_content = content.split('</think>')[0].split('<think>')[-1] %} | |
| {%- set content = content.split('</think>')[-1] %} | |
| {%- endif %} | |
| {%- if (not clear_thinking or loop.index0 > ns.last_user_index) and reasoning_content is defined -%} | |
| {{ '<think>' + reasoning_content + '</think>'}} | |
| {%- else -%} | |
| {{ '<think></think>' }} | |
| {%- endif -%} | |
| {%- if content.strip() -%} | |
| {{ content.strip() }} | |
| {%- endif -%} | |
| {% if m.tool_calls %} | |
| {% for tc in m.tool_calls %} | |
| {%- if tc.function %} | |
| {%- set tc = tc.function %} | |
| {%- endif %} | |
| {{- '<tool_call>' + tc.name -}} | |
| {% set _args = tc.arguments %}{% for k, v in _args.items() %}<arg_key>{{ k }}</arg_key><arg_value>{{ v | tojson(ensure_ascii=False) if v is not string else v }}</arg_value>{% endfor %}</tool_call>{% endfor %} | |
| {% endif %} | |
| {%- elif m.role == 'tool' -%} | |
| {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %} | |
| {{- '<|observation|>' -}} | |
| {%- set block_start = loop.index0 -%} | |
| {%- set ns_blk = namespace(end=block_start) -%} | |
| {%- for j in range(block_start, messages|length) -%} | |
| {%- if messages[j].role == 'tool' -%} | |
| {%- set ns_blk.end = j -%} | |
| {%- else -%} | |
| {%- break -%} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {%- set ns_a = namespace(tool_calls=none) -%} | |
| {%- if block_start > 0 and messages[block_start - 1].role == 'assistant' and messages[block_start - 1].tool_calls -%} | |
| {%- set ns_a.tool_calls = messages[block_start - 1].tool_calls -%} | |
| {%- endif -%} | |
| {%- set ns_chk = namespace(can_sort=true) -%} | |
| {%- if not ns_a.tool_calls -%} | |
| {%- set ns_chk.can_sort = false -%} | |
| {%- else -%} | |
| {%- for k in range(block_start, ns_blk.end + 1) -%} | |
| {%- set m = messages[k] -%} | |
| {%- if is_list_of_outputs(m) -%} | |
| {%- for entry in m.content -%} | |
| {%- set eid = id_of(entry) -%} | |
| {%- if not eid -%} | |
| {%- set ns_chk.can_sort = false -%} | |
| {%- elif has_dup_tool_result_id(block_start, ns_blk.end, eid) -%} | |
| {%- set ns_chk.can_sort = false -%} | |
| {%- elif not tc_id_exists(ns_a.tool_calls, eid) -%} | |
| {%- set ns_chk.can_sort = false -%} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {%- else -%} | |
| {%- set tk_id = id_of(m) -%} | |
| {%- if not tk_id -%} | |
| {%- set ns_chk.can_sort = false -%} | |
| {%- elif has_dup_tool_result_id(block_start, ns_blk.end, tk_id) -%} | |
| {%- set ns_chk.can_sort = false -%} | |
| {%- elif not tc_id_exists(ns_a.tool_calls, tk_id) -%} | |
| {%- set ns_chk.can_sort = false -%} | |
| {%- endif -%} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {%- for i in range(ns_a.tool_calls | length) -%} | |
| {%- set tc_id = id_of(ns_a.tool_calls[i]) -%} | |
| {%- if not tc_id -%} | |
| {%- set ns_chk.can_sort = false -%} | |
| {%- endif -%} | |
| {%- for j in range(i + 1, ns_a.tool_calls | length) -%} | |
| {%- if id_of(ns_a.tool_calls[j]) == tc_id -%} | |
| {%- set ns_chk.can_sort = false -%} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {%- endfor -%} | |
| {%- endif -%} | |
| {%- if ns_chk.can_sort -%} | |
| {%- for tc in ns_a.tool_calls -%} | |
| {%- set tc_id = id_of(tc) -%} | |
| {%- for k in range(block_start, ns_blk.end + 1) -%} | |
| {%- set m = messages[k] -%} | |
| {%- if is_list_of_outputs(m) -%} | |
| {%- for entry in m.content -%} | |
| {%- set eid = id_of(entry) -%} | |
| {%- if eid == tc_id -%} | |
| {%- if entry.output is iterable and entry.output is not string and entry.output is not mapping and entry.output and entry.output.0.type == "tool_reference" -%} | |
| {{- tool_references_to_response(entry.output) -}} | |
| {%- else -%} | |
| {{- tool_response(visible_text(entry.output)) -}} | |
| {%- endif -%} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {%- else -%} | |
| {%- set tk_id = id_of(m) -%} | |
| {%- if tk_id == tc_id -%} | |
| {{- render_tool_response(m) -}} | |
| {%- endif -%} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {%- endfor -%} | |
| {%- else -%} | |
| {%- for k in range(block_start, ns_blk.end + 1) -%} | |
| {{- render_tool_response(messages[k]) -}} | |
| {%- endfor -%} | |
| {%- endif -%} | |
| {% endif -%} | |
| {%- elif m.role == 'system' -%} | |
| <|system|>{{ visible_text(m.content) }} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {%- if add_generation_prompt -%} | |
| <|assistant|>{{- '<think></think>' -}} | |
| {%- endif -%} | |