commit 29de7d311e649f14c87d307567806230651f3990 Author: ModelHub XC Date: Sat Apr 11 20:01:57 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: VincentGOURBIN/Llama-Guard-3-8B Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..52373fe --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..cd67029 --- /dev/null +++ b/README.md @@ -0,0 +1,210 @@ +--- +language: +- en +pipeline_tag: text-generation +base_model: meta-llama/Llama-Guard-3-8B +tags: +- facebook +- meta +- pytorch +- llama +- llama-3 +- mlx +license: llama3.1 +extra_gated_prompt: "### LLAMA 3.1 COMMUNITY LICENSE AGREEMENT\nLlama 3.1 Version\ + \ Release Date: July 23, 2024\n\"Agreement\" means the terms and conditions for\ + \ use, reproduction, distribution and modification of the Llama Materials set forth\ + \ herein.\n\"Documentation\" means the specifications, manuals and documentation\ + \ accompanying Llama 3.1 distributed by Meta at https://llama.meta.com/doc/overview.\n\ + \"Licensee\" or \"you\" means you, or your employer or any other person or entity\ + \ (if you are entering into this Agreement on such person or entity’s behalf), of\ + \ the age required under applicable laws, rules or regulations to provide legal\ + \ consent and that has legal authority to bind your employer or such other person\ + \ or entity if you are entering in this Agreement on their behalf.\n\"Llama 3.1\"\ + \ means the foundational large language models and software and algorithms, including\ + \ machine-learning model code, trained model weights, inference-enabling code, training-enabling\ + \ code, fine-tuning enabling code and other elements of the foregoing distributed\ + \ by Meta at https://llama.meta.com/llama-downloads.\n\"Llama Materials\" means,\ + \ collectively, Meta’s proprietary Llama 3.1 and Documentation (and any portion\ + \ thereof) made available under this Agreement.\n\"Meta\" or \"we\" means Meta Platforms\ + \ Ireland Limited (if you are located in or, if you are an entity, your principal\ + \ place of business is in the EEA or Switzerland) and Meta Platforms, Inc. 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Fail to appropriately disclose to\ + \ end users any known dangers of your AI system\nPlease report any violation of\ + \ this Policy, software “bug,” or other problems that could lead to a violation\ + \ of this Policy through one of the following means:\n * Reporting issues with\ + \ the model: [https://github.com/meta-llama/llama-models/issues](https://github.com/meta-llama/llama-models/issues)\n\ + \ * Reporting risky content generated by the model:\n developers.facebook.com/llama_output_feedback\n\ + \ * Reporting bugs and security concerns: facebook.com/whitehat/info\n * Reporting\ + \ violations of the Acceptable Use Policy or unlicensed uses of Meta Llama 3: LlamaUseReport@meta.com" +extra_gated_fields: + First Name: text + Last Name: text + Date of birth: date_picker + Country: country + Affiliation: text + Job title: + type: select + options: + - Student + - Research Graduate + - AI researcher + - AI developer/engineer + - Reporter + - Other + geo: ip_location + ? By clicking Submit below I accept the terms of the license and acknowledge that + the information I provide will be collected stored processed and shared in accordance + with the Meta Privacy Policy + : checkbox +extra_gated_description: The information you provide will be collected, stored, processed + and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/). +extra_gated_button_content: Submit +--- + +# VincentGOURBIN/Llama-Guard-3-8B + +The Model [VincentGOURBIN/Llama-Guard-3-8B](https://huggingface.co/VincentGOURBIN/Llama-Guard-3-8B) was converted to MLX format from [meta-llama/Llama-Guard-3-8B](https://huggingface.co/meta-llama/Llama-Guard-3-8B) using mlx-lm version **0.19.1**. + +## Use with mlx + +```bash +pip install mlx-lm +``` + +```python +from mlx_lm import load, generate + +model, tokenizer = load("VincentGOURBIN/Llama-Guard-3-8B") + +prompt="hello" + +if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None: + messages = [{"role": "user", "content": prompt}] + prompt = tokenizer.apply_chat_template( + messages, tokenize=False, 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..00759ee --- /dev/null +++ b/config.json @@ -0,0 +1,38 @@ +{ + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 128000, + "eos_token_id": [ + 128001, + 128008, + 128009 + ], + "hidden_act": "silu", + "hidden_size": 4096, + "initializer_range": 0.02, + "intermediate_size": 14336, + "max_position_embeddings": 131072, + "mlp_bias": false, + "model_type": "llama", + "num_attention_heads": 32, + "num_hidden_layers": 32, + "num_key_value_heads": 8, + "pretraining_tp": 1, + "rms_norm_eps": 1e-05, + "rope_scaling": { + "factor": 8.0, + "low_freq_factor": 1.0, + "high_freq_factor": 4.0, + "original_max_position_embeddings": 8192, + "rope_type": "llama3" + }, + "rope_theta": 500000.0, + "tie_word_embeddings": false, + "torch_dtype": "bfloat16", + "transformers_version": "4.43.0.dev0", + "use_cache": true, + "vocab_size": 128256 +} \ No newline at end of file diff --git a/model-00001-of-00004.safetensors b/model-00001-of-00004.safetensors new file mode 100644 index 0000000..55a4d70 --- /dev/null +++ b/model-00001-of-00004.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:397e1298dab077d638e8e3c6fa4e3bd66f97aa68c2291f31fab15a5e5d98c81b +size 5295466340 diff --git a/model-00002-of-00004.safetensors b/model-00002-of-00004.safetensors new file mode 100644 index 0000000..5ddf737 --- /dev/null +++ b/model-00002-of-00004.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f73f001d17f0b9f5683187a0a01b583f65dd3604e6552b2639b16d11a55c5a39 +size 5352157721 diff --git a/model-00003-of-00004.safetensors b/model-00003-of-00004.safetensors new file mode 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"single_word": false, + "special": true + }, + "128251": { + "content": "<|reserved_special_token_243|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128252": { + "content": "<|reserved_special_token_244|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128253": { + "content": "<|reserved_special_token_245|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128254": { + "content": "<|reserved_special_token_246|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128255": { + "content": "<|reserved_special_token_247|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "bos_token": "<|begin_of_text|>", + "chat_template": "{% if messages|length % 2 == 0 %}{% set role = 'Agent' %}{% else %}{% set role = 'User' %}{% endif %}{{ \" <|begin_of_text|><|start_header_id|>user<|end_header_id|>\n\nTask: Check if there is unsafe content in '\" + role + \"' messages in conversations according our safety policy with the below categories.\n\n\nS1: Violent Crimes.\nS2: Non-Violent Crimes.\nS3: Sex Crimes.\nS4: Child Exploitation.\nS5: Defamation.\nS6: Specialized Advice.\nS7: Privacy.\nS8: Intellectual Property.\nS9: Indiscriminate Weapons.\nS10: Hate.\nS11: Self-Harm.\nS12: Sexual Content.\nS13: Elections.\nS14: Code Interpreter Abuse.\n\n\n\n\n\" }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{% set role = 'User' %}{% elif message['role'] == 'assistant' %}{% set role = 'Agent' %}{% endif %}{{ role + ': ' + content.strip() + '\n\n' }}{% endfor %}{{ \"\n\nProvide your safety assessment for ONLY THE LAST \" + role + \" message in the above conversation:\n - First line must read 'safe' or 'unsafe'.\n - If unsafe, a second line must include a comma-separated list of violated categories.<|eot_id|><|start_header_id|>assistant<|end_header_id|>\" }}", + "clean_up_tokenization_spaces": true, + "eos_token": "<|eot_id|>", + "model_input_names": [ + "input_ids", + "attention_mask" + ], + "model_max_length": 131072, + "tokenizer_class": "PreTrainedTokenizerFast" +}