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+ +
+

+ 👋 Join our Discord community. +
+ 📖 Check out the GLM-4.5 technical blog, technical report, and Zhipu AI technical documentation. +
+ 📍 Use GLM-4.5 API services on Z.ai API Platform (Global) or
Zhipu AI Open Platform (Mainland China). +
+ 👉 One click to GLM-4.5. +

+ +## Model Introduction + +The **GLM-4.5** series models are foundation models designed for intelligent agents. GLM-4.5 has **355** billion total parameters with **32** billion active parameters, while GLM-4.5-Air adopts a more compact design with **106** billion total parameters and **12** billion active parameters. GLM-4.5 models unify reasoning, coding, and intelligent agent capabilities to meet the complex demands of intelligent agent applications. + +Both GLM-4.5 and GLM-4.5-Air are hybrid reasoning models that provide two modes: thinking mode for complex reasoning and tool usage, and non-thinking mode for immediate responses. + +We have open-sourced the base models, hybrid reasoning models, and FP8 versions of the hybrid reasoning models for both GLM-4.5 and GLM-4.5-Air. They are released under the MIT open-source license and can be used commercially and for secondary development. + +As demonstrated in our comprehensive evaluation across 12 industry-standard benchmarks, GLM-4.5 achieves exceptional performance with a score of **63.2**, in the **3rd** place among all the proprietary and open-source models. Notably, GLM-4.5-Air delivers competitive results at **59.8** while maintaining superior efficiency. + +![bench](https://raw.githubusercontent.com/zai-org/GLM-4.5/refs/heads/main/resources/bench.png) + +For more eval results, show cases, and technical details, please visit +our [technical blog](https://z.ai/blog/glm-4.5) or [technical report](https://arxiv.org/abs/2508.06471). + +The model code, tool parser and reasoning parser can be found in the implementation of [transformers](https://github.com/huggingface/transformers/tree/main/src/transformers/models/glm4_moe), [vLLM](https://github.com/vllm-project/vllm/blob/main/vllm/model_executor/models/glm4_moe_mtp.py) and [SGLang](https://github.com/sgl-project/sglang/blob/main/python/sglang/srt/models/glm4_moe.py). + +## Model Downloads + +You can directly experience the model on [Hugging Face](https://huggingface.co/spaces/zai-org/GLM-4.5-Space) +or [ModelScope](https://modelscope.cn/studios/ZhipuAI/GLM-4.5-Demo) or download the model by following the links below. + +| Model | Download Links | Model Size | Precision | +|------------------|-----------------------------------------------------------------------------------------------------------------------------------------------|------------|-----------| +| GLM-4.5 | [🤗 Hugging Face](https://huggingface.co/zai-org/GLM-4.5)
[🤖 ModelScope](https://modelscope.cn/models/ZhipuAI/GLM-4.5) | 355B-A32B | BF16 | +| GLM-4.5-Air | [🤗 Hugging Face](https://huggingface.co/zai-org/GLM-4.5-Air)
[🤖 ModelScope](https://modelscope.cn/models/ZhipuAI/GLM-4.5-Air) | 106B-A12B | BF16 | +| GLM-4.5-FP8 | [🤗 Hugging Face](https://huggingface.co/zai-org/GLM-4.5-FP8)
[🤖 ModelScope](https://modelscope.cn/models/ZhipuAI/GLM-4.5-FP8) | 355B-A32B | FP8 | +| GLM-4.5-Air-FP8 | [🤗 Hugging Face](https://huggingface.co/zai-org/GLM-4.5-Air-FP8)
[🤖 ModelScope](https://modelscope.cn/models/ZhipuAI/GLM-4.5-Air-FP8) | 106B-A12B | FP8 | +| GLM-4.5-Base | [🤗 Hugging Face](https://huggingface.co/zai-org/GLM-4.5-Base)
[🤖 ModelScope](https://modelscope.cn/models/ZhipuAI/GLM-4.5-Base) | 355B-A32B | BF16 | +| GLM-4.5-Air-Base | [🤗 Hugging Face](https://huggingface.co/zai-org/GLM-4.5-Air-Base)
[🤖 ModelScope](https://modelscope.cn/models/ZhipuAI/GLM-4.5-Air-Base) | 106B-A12B | BF16 | + +## System Requirements + +### Inference + +We provide minimum and recommended configurations for "full-featured" model inference. The data in the table below is +based on the following conditions: + +1. All models use MTP layers and specify + `--speculative-num-steps 3 --speculative-eagle-topk 1 --speculative-num-draft-tokens 4` to ensure competitive + inference speed. +2. The `cpu-offload` parameter is not used. +3. Inference batch size does not exceed `8`. +4. All are executed on devices that natively support FP8 inference, ensuring both weights and cache are in FP8 format. +5. Server memory must exceed `1T` to ensure normal model loading and operation. + +The models can run under the configurations in the table below: + +| Model | Precision | GPU Type and Count | Test Framework | +|-------------|-----------|----------------------|----------------| +| GLM-4.5 | BF16 | H100 x 16 / H200 x 8 | sglang | +| GLM-4.5 | FP8 | H100 x 8 / H200 x 4 | sglang | +| GLM-4.5-Air | BF16 | H100 x 4 / H200 x 2 | sglang | +| GLM-4.5-Air | FP8 | H100 x 2 / H200 x 1 | sglang | + +Under the configurations in the table below, the models can utilize their full 128K context length: + +| Model | Precision | GPU Type and Count | Test Framework | +|-------------|-----------|-----------------------|----------------| +| GLM-4.5 | BF16 | H100 x 32 / H200 x 16 | sglang | +| GLM-4.5 | FP8 | H100 x 16 / H200 x 8 | sglang | +| GLM-4.5-Air | BF16 | H100 x 8 / H200 x 4 | sglang | +| GLM-4.5-Air | FP8 | H100 x 4 / H200 x 2 | sglang | + +### Fine-tuning + +The code can run under the configurations in the table below +using [Llama Factory](https://github.com/hiyouga/LLaMA-Factory): + +| Model | GPU Type and Count | Strategy | Batch Size (per GPU) | +|-------------|--------------------|----------|----------------------| +| GLM-4.5 | H100 x 16 | Lora | 1 | +| GLM-4.5-Air | H100 x 4 | Lora | 1 | + +The code can run under the configurations in the table below using [Swift](https://github.com/modelscope/ms-swift): + +| Model | GPU Type and Count | Strategy | Batch Size (per GPU) | +|-------------|--------------------|----------|----------------------| +| GLM-4.5 | H20 (96GiB) x 16 | Lora | 1 | +| GLM-4.5-Air | H20 (96GiB) x 4 | Lora | 1 | +| GLM-4.5 | H20 (96GiB) x 128 | SFT | 1 | +| GLM-4.5-Air | H20 (96GiB) x 32 | SFT | 1 | +| GLM-4.5 | H20 (96GiB) x 128 | RL | 1 | +| GLM-4.5-Air | H20 (96GiB) x 32 | RL | 1 | + +## Quick Start + +Please install the required packages according to `requirements.txt`. + +```shell +pip install -r requirements.txt +``` + +### transformers + +Please refer to the `trans_infer_cli.py` code in the `inference` folder. + +### vLLM + ++ Both BF16 and FP8 can be started with the following code: + +```shell +vllm serve zai-org/GLM-4.5-Air \ + --tensor-parallel-size 8 \ + --tool-call-parser glm45 \ + --reasoning-parser glm45 \ + --enable-auto-tool-choice \ + --served-model-name glm-4.5-air +``` + +If you're using 8x H100 GPUs and encounter insufficient memory when running the GLM-4.5 model, you'll need +`--cpu-offload-gb 16` (only applicable to vLLM). + +If you encounter `flash infer` issues, use `VLLM_ATTENTION_BACKEND=XFORMERS` as a temporary replacement. You can also +specify `TORCH_CUDA_ARCH_LIST='9.0+PTX'` to use `flash infer` (different GPUs have different TORCH_CUDA_ARCH_LIST +values, please check accordingly). + +### SGLang + ++ BF16 + +```shell +python3 -m sglang.launch_server \ + --model-path zai-org/GLM-4.5-Air \ + --tp-size 8 \ + --tool-call-parser glm45 \ + --reasoning-parser glm45 \ + --speculative-algorithm EAGLE \ + --speculative-num-steps 3 \ + --speculative-eagle-topk 1 \ + --speculative-num-draft-tokens 4 \ + --mem-fraction-static 0.7 \ + --served-model-name glm-4.5-air \ + --host 0.0.0.0 \ + --port 8000 +``` + ++ FP8 + +```shell +python3 -m sglang.launch_server \ + --model-path zai-org/GLM-4.5-Air-FP8 \ + --tp-size 4 \ + --tool-call-parser glm45 \ + --reasoning-parser glm45 \ + --speculative-algorithm EAGLE \ + --speculative-num-steps 3 \ + --speculative-eagle-topk 1 \ + --speculative-num-draft-tokens 4 \ + --mem-fraction-static 0.7 \ + --disable-shared-experts-fusion \ + --served-model-name glm-4.5-air-fp8 \ + --host 0.0.0.0 \ + --port 8000 +``` + +### Request Parameter Instructions + ++ When using `vLLM` and `SGLang`, thinking mode is enabled by default when sending requests. If you want to disable the + thinking switch, you need to add the `extra_body={"chat_template_kwargs": {"enable_thinking": False}}` parameter. ++ Both support tool calling. Please use OpenAI-style tool description format for calls. ++ For specific code, please refer to `api_request.py` in the `inference` folder. \ No newline at end of file diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000000000000000000000000000000000000..41478957aca7a04b7321022e7d1f73de5badd995 --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,103 @@ +[gMASK] +{%- if tools -%} +<|system|> +# Tools + +You may call one or more functions to assist with the user query. + +You are provided with function signatures within XML tags: + +{% for tool in tools %} +{{ tool | tojson(ensure_ascii=False) }} +{% endfor %} + + +For each function call, output the function name and arguments within the following XML format: +{function-name} +{arg-key-1} +{arg-value-1} +{arg-key-2} +{arg-value-2} +... +{%- endif -%} +{%- 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 }} + {%- endif -%} + {%- endfor -%} + {%- else -%} + {{- content }} + {%- 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) }} +{{- '/nothink' if (enable_thinking is defined and not enable_thinking and not visible_text(m.content).endswith("/nothink")) else '' -}} +{%- elif m.role == 'assistant' -%} +<|assistant|> +{%- set reasoning_content = '' %} +{%- set content = visible_text(m.content) %} +{%- if m.reasoning_content is string %} + {%- set reasoning_content = m.reasoning_content %} +{%- else %} + {%- if '' in content %} + {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %} + {%- set content = content.split('')[-1].lstrip('\n') %} + {%- endif %} +{%- endif %} +{%- if loop.index0 > ns.last_user_index and reasoning_content -%} +{{ '\n' + reasoning_content.strip() + ''}} +{%- else -%} +{{ '\n' }} +{%- endif -%} +{%- if content.strip() -%} +{{ '\n' + content.strip() }} +{%- endif -%} +{% if m.tool_calls %} +{% for tc in m.tool_calls %} +{%- if tc.function %} + {%- set tc = tc.function %} +{%- endif %} +{{ '\n' + tc.name }} +{% set _args = tc.arguments %} +{% for k, v in _args.items() %} +{{ k }} +{{ v | tojson(ensure_ascii=False) if v is not string else v }} +{% endfor %} +{% endfor %} +{% endif %} +{%- elif m.role == 'tool' -%} +{%- if m.content is string -%} +{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %} + {{- '<|observation|>' }} +{%- endif %} +{{- '\n\n' }} +{{- m.content }} +{{- '\n' }} +{%- else -%} +<|observation|>{% for tr in m.content %} + + +{{ tr.output if tr.output is defined else tr }} +{% endfor -%} +{% endif -%} +{%- elif m.role == 'system' -%} +<|system|> +{{ visible_text(m.content) }} +{%- endif -%} +{%- endfor -%} +{%- if add_generation_prompt -%} + <|assistant|>{{- '\n' if (enable_thinking is defined and not enable_thinking) else '' -}} +{%- endif -%} \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000000000000000000000000000000000000..c8a792d99a36139dda07b552468252dc36873f32 --- /dev/null +++ b/config.json @@ -0,0 +1,43 @@ +{ + "architectures": [ + "Glm4MoeForCausalLM" + ], + "attention_bias": true, + "attention_dropout": 0.0, + "pad_token_id": 151329, + "eos_token_id": [ + 151329, + 151336, + 151338 + ], + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 5120, + "partial_rotary_factor": 0.5, + "initializer_range": 0.02, + "intermediate_size": 12288, + "max_position_embeddings": 131072, + "model_type": "glm4_moe", + "moe_intermediate_size": 1536, + "norm_topk_prob": true, + "num_attention_heads": 96, + "n_group": 1, + "topk_group": 1, + "n_routed_experts": 160, + "n_shared_experts": 1, + "routed_scaling_factor": 2.5, + "num_experts_per_tok": 8, + "first_k_dense_replace": 3, + "num_hidden_layers": 92, + "num_key_value_heads": 8, + "rms_norm_eps": 1e-05, + "rope_scaling": null, + "rope_theta": 1000000, + "num_nextn_predict_layers": 1, + "tie_word_embeddings": false, + "torch_dtype": "bfloat16", + "transformers_version": "4.54.0", + "use_cache": true, + "use_qk_norm": true, + "vocab_size": 151552 +} \ No newline at end of file diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000000000000000000000000000000000000..4d49113f3e19072368c98e53180331c77c07c8a6 --- /dev/null +++ b/generation_config.json @@ -0,0 +1,10 @@ +{ + "_from_model_config": true, + "eos_token_id": [ + 151329, + 151336, + 151338 + ], + "pad_token_id": 151329, + "transformers_version": "4.54.0" +} diff --git a/model-00001-of-00093.safetensors 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