From ac74803d7500fcf71c9763ed5d2a0bd65327cc4e Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Wed, 27 May 2026 14:10:12 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: mlx-community/glm-4-9b-chat-1m-bf16 Source: Original Platform --- .gitattributes | 54 ++++ README.md | 44 +++ config.json | 30 ++ configuration.json | 1 + model-00001-of-00004.safetensors | 3 + model-00002-of-00004.safetensors | 3 + model-00003-of-00004.safetensors | 3 + model-00004-of-00004.safetensors | 3 + model.safetensors.index.json | 451 +++++++++++++++++++++++++++++++ special_tokens_map.json | 32 +++ tokenizer.json | 3 + tokenizer_config.json | 146 ++++++++++ 12 files changed, 773 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 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of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..a256fcd --- /dev/null +++ b/README.md @@ -0,0 +1,44 @@ +--- +license: other +license_name: glm-4 +license_link: https://huggingface.co/THUDM/glm-4-9b-chat-hf/blob/main/LICENSE +language: +- en +- zh +base_model: zai-org/glm-4-9b-chat-1m-hf +pipeline_tag: text-generation +library_name: mlx +tags: +- chatglm +- mlx +inference: false +--- + + +# mlx-community/glm-4-9b-chat-1m-bf16 + +This model [mlx-community/glm-4-9b-chat-1m-bf16](https://huggingface.co/mlx-community/glm-4-9b-chat-1m-bf16) was +converted to MLX format from [zai-org/glm-4-9b-chat-1m-hf](https://huggingface.co/zai-org/glm-4-9b-chat-1m-hf) +using mlx-lm version **0.27.1**. + +## Use with mlx + +```bash +pip install mlx-lm +``` + +```python +from mlx_lm import load, generate + +model, tokenizer = load("mlx-community/glm-4-9b-chat-1m-bf16") + +prompt = "hello" + +if tokenizer.chat_template is not None: + messages = [{"role": "user", "content": prompt}] + prompt = tokenizer.apply_chat_template( + messages, add_generation_prompt=True + ) + +response = generate(model, tokenizer, prompt=prompt, verbose=True) +``` diff --git a/config.json b/config.json new file mode 100644 index 0000000..d60d9ef --- /dev/null +++ b/config.json @@ -0,0 +1,30 @@ +{ + "architectures": [ + "GlmForCausalLM" + ], + "attention_bias": true, + "attention_dropout": 0.0, + "eos_token_id": [ + 151329, + 151336, + 151338 + ], + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 4096, + "initializer_range": 0.02, + "intermediate_size": 13696, + "max_position_embeddings": 1048576, + "model_type": "glm", + "num_attention_heads": 32, + "num_hidden_layers": 40, + "num_key_value_heads": 4, + "pad_token_id": 151329, + "rms_norm_eps": 1.5625e-07, + "rope_theta": 10000.0, + "tie_word_embeddings": false, + "torch_dtype": "bfloat16", + "transformers_version": "4.46.0.dev0", + "use_cache": true, + "vocab_size": 151552 +} \ No newline at end of file diff --git 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"content": "<|endoftext|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/tokenizer.json b/tokenizer.json new file mode 100644 index 0000000..2c24a7b --- /dev/null +++ b/tokenizer.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8a7269d6daa6328de533def0082ff9d3a825bb89036cbcc665c324f941f67fbf +size 19967863 diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..d62796c --- /dev/null +++ b/tokenizer_config.json @@ -0,0 +1,146 @@ +{ + "added_tokens_decoder": { + "151329": { + "content": "<|endoftext|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151330": { + "content": "[MASK]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151331": { + "content": "[gMASK]", + "lstrip": false, + "normalized": false, + "rstrip": false, + 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for item in messages %}{% if item['tools'] is defined %}<|system|>\n你是一个名为 GLM-4 的人工智能助手。你是基于智谱AI训练的语言模型 GLM-4 模型开发的，你的任务是针对用户的问题和要求提供适当的答复和支持。\n\n# 可用工具{% set tools = item['tools'] %}{% for tool in tools %}{% if tool['type'] == 'function' %}\n\n## {{ tool['function']['name'] }}\n\n{{ tool['function'] | tojson(indent=4) }}\n在调用上述函数时，请使用 Json 格式表示调用的参数。{% elif tool['type'] == 'python' %}\n\n## python\n\n当你向 `python` 发送包含 Python 代码的消息时，该代码将会在一个有状态的 Jupyter notebook 环境中执行。\n`python` 返回代码执行的输出，或在执行 60 秒后返回超时。\n`/mnt/data` 将会持久化存储你的文件。在此会话中，`python` 无法访问互联网。不要使用 `python` 进行任何网络请求或者在线 API 调用，这些在线内容的访问将不会成功。{% elif tool['type'] == 'simple_browser' %}\n\n## simple_browser\n\n你可以使用 `simple_browser` 工具。该工具支持以下函数：\n`search(query: str, recency_days: int)`：使用搜索引擎进行查询并显示结果，可以使用 `recency_days` 参数控制搜索内容的时效性。\n`mclick(ids: list[int])`：获取一系列指定 id 的页面内容。每次调用时，须选择3-10个页面。选择多个角度的页面，同时尽可能选择可信任的信息来源。考虑到部分页面是无法加载的，你也可以多打开一些可能有用的页面而不用担心内容过多。\n`open_url(url: str)`：打开指定的 URL。\n\n使用 `【{引用 id}†{引用文本}】` 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