Text Generation
Transformers
Safetensors
English
Chinese
glm_moe_dsa
conversational
Eval Results
fp8
Instructions to use zai-org/GLM-5.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zai-org/GLM-5.3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="zai-org/GLM-5.3") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("zai-org/GLM-5.3") model = AutoModelForCausalLM.from_pretrained("zai-org/GLM-5.3", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=256) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Inference
- HuggingChat
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use zai-org/GLM-5.3 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "zai-org/GLM-5.3" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "zai-org/GLM-5.3", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/zai-org/GLM-5.3
- SGLang
How to use zai-org/GLM-5.3 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "zai-org/GLM-5.3" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "zai-org/GLM-5.3", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "zai-org/GLM-5.3" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "zai-org/GLM-5.3", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use zai-org/GLM-5.3 with Docker Model Runner:
docker model run hf.co/zai-org/GLM-5.3
chat template: speed up tool-result validation and reordering
#31
by vMaroon - opened
- chat_template.jinja +51 -55
chat_template.jinja
CHANGED
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@@ -172,73 +172,69 @@ For each function call, output the function name and arguments within the follow
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{%- if block_start > 0 and messages[block_start - 1].role == 'assistant' and messages[block_start - 1].tool_calls -%}
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{%- set ns_a.tool_calls = messages[block_start - 1].tool_calls -%}
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{%- endif -%}
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{%- set ns_chk = namespace(can_sort=true) -%}
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{%- if not ns_a.tool_calls -%}
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{%- set ns_chk.can_sort = false -%}
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{%- else -%}
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{%- for
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{%-
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{%- set m = messages[k] -%}
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{%- if is_list_of_outputs(m) -%}
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{%- for entry in m.content -%}
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{%- if not ns_chk.can_sort -%}{%- break -%}{%- endif -%}
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{%- set eid = id_of(entry) -%}
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{%- if not eid -%}
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{%- set ns_chk.can_sort = false -%}
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{%- elif has_dup_tool_result_id(block_start, ns_blk.end, eid) -%}
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{%- set ns_chk.can_sort = false -%}
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{%- elif not tc_id_exists(ns_a.tool_calls, eid) -%}
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{%- set ns_chk.can_sort = false -%}
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{%- endif -%}
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{%- endfor -%}
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{%- else -%}
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{%- set tk_id = id_of(m) -%}
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{%- if not tk_id -%}
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{%- set ns_chk.can_sort = false -%}
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{%- elif has_dup_tool_result_id(block_start, ns_blk.end, tk_id) -%}
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| 199 |
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{%- set ns_chk.can_sort = false -%}
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{%- elif not tc_id_exists(ns_a.tool_calls, tk_id) -%}
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{%- set ns_chk.can_sort = false -%}
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{%- endif -%}
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{%- endif -%}
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{%- endfor -%}
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{%-
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{%-
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{%-
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{%-
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{%- set ns_chk.can_sort = false -%}
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{%- break -%}
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{%- endif -%}
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{%- endfor -%}
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-
{%-
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{%- endif -%}
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{%- if ns_chk.can_sort -%}
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{%-
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{%-
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{%- else -%}
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{
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{%- if tk_id == tc_id -%}
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{{- render_tool_response(m) -}}
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{%- endif -%}
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{%- endif -%}
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{%-
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{%- endfor -%}
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{%- else -%}
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{%- for k in range(block_start, ns_blk.end + 1) -%}
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{%- if block_start > 0 and messages[block_start - 1].role == 'assistant' and messages[block_start - 1].tool_calls -%}
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{%- set ns_a.tool_calls = messages[block_start - 1].tool_calls -%}
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{%- endif -%}
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{%- set ns_chk = namespace(can_sort=true, res=[], mk=[], ek=[], tcs=[]) -%}
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{%- for k in range(block_start, ns_blk.end + 1) -%}
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{%- set m = messages[k] -%}
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{%- if is_list_of_outputs(m) -%}
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{%- for entry in m.content -%}
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{%- set ns_chk.res = ns_chk.res + [id_of(entry)] -%}
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{%- set ns_chk.mk = ns_chk.mk + [k] -%}
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{%- set ns_chk.ek = ns_chk.ek + [loop.index0] -%}
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{%- endfor -%}
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{%- else -%}
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{%- set ns_chk.res = ns_chk.res + [id_of(m)] -%}
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{%- set ns_chk.mk = ns_chk.mk + [k] -%}
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{%- set ns_chk.ek = ns_chk.ek + [-1] -%}
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{%- endif -%}
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{%- endfor -%}
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{%- if not ns_a.tool_calls -%}
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{%- set ns_chk.can_sort = false -%}
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{%- else -%}
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{%- for tc in ns_a.tool_calls -%}
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{%- set ns_chk.tcs = ns_chk.tcs + [id_of(tc)] -%}
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{%- endfor -%}
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{%- if '' in ns_chk.res or '' in ns_chk.tcs -%}
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{%- set ns_chk.can_sort = false -%}
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{%- elif ns_chk.res | unique(case_sensitive=true) | list | length != ns_chk.res | length -%}
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{%- set ns_chk.can_sort = false -%}
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{%- elif ns_chk.tcs | unique(case_sensitive=true) | list | length != ns_chk.tcs | length -%}
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{%- set ns_chk.can_sort = false -%}
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{%- else -%}
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{%- for eid in ns_chk.res -%}
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{%- if eid not in ns_chk.tcs -%}
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{%- set ns_chk.can_sort = false -%}
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{%- break -%}
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{%- endif -%}
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{%- endfor -%}
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{%- endif -%}
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{%- endif -%}
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{%- if ns_chk.can_sort -%}
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{%- set ns_ord = namespace(res=[], tcs=[], j=0, pairs=[]) -%}
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{%- for eid in ns_chk.res -%}
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{%- set ns_ord.res = ns_ord.res + [{'id': eid, 'p': loop.index0}] -%}
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{%- endfor -%}
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{%- for tc_id in ns_chk.tcs -%}
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{%- set ns_ord.tcs = ns_ord.tcs + [{'id': tc_id, 'i': loop.index0}] -%}
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{%- endfor -%}
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{%- set ns_ord.res = ns_ord.res | sort(attribute='id', case_sensitive=true) -%}
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{%- for tc in ns_ord.tcs | sort(attribute='id', case_sensitive=true) -%}
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{%- if ns_ord.j < ns_ord.res | length and ns_ord.res[ns_ord.j].id == tc.id -%}
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{%- set ns_ord.pairs = ns_ord.pairs + [{'i': tc.i, 'p': ns_ord.res[ns_ord.j].p}] -%}
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{%- set ns_ord.j = ns_ord.j + 1 -%}
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{%- endif -%}
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{%- endfor -%}
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{%- for pair in ns_ord.pairs | sort(attribute='i') -%}
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{%- set m = messages[ns_chk.mk[pair.p]] -%}
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{%- if ns_chk.ek[pair.p] >= 0 -%}
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{%- set entry = m.content[ns_chk.ek[pair.p]] -%}
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{%- 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" -%}
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{{- tool_references_to_response(entry.output) -}}
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{%- else -%}
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{{- tool_response(visible_text(entry.output)) -}}
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{%- endif -%}
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{%- else -%}
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{{- render_tool_response(m) -}}
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{%- endif -%}
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{%- endfor -%}
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{%- else -%}
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{%- for k in range(block_start, ns_blk.end + 1) -%}
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