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Model: ahmedandaloes/security-llama3.2-3b-MLX-bf16 Source: Original Platform
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.gitattributes
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49
README.md
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README.md
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---
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license: apache-2.0
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language:
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- en
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tags:
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- security
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- cybersecurity
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- mlx
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- mlx-bf16
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base_model: viettelsecurity-ai/security-llama3.2-3b
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base_model_relation: quantized
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pipeline_tag: text-generation
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library_name: mlx
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quantized_by: ahmedandaloes
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---
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# security-llama3.2-3b — MLX bf16
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Full-precision (bf16) [MLX](https://github.com/ml-explore/mlx) build of
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[**viettelsecurity-ai/security-llama3.2-3b**](https://huggingface.co/viettelsecurity-ai/security-llama3.2-3b), for fast local inference on Apple Silicon.
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- **Precision:** bf16 — no quantization, identical weights to source.
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- Weights unchanged from source — format + precision conversion only.
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- Converted with `mlx-lm`.
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## Builds
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| Build |
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|-------|
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| [MLX-4bit](https://huggingface.co/ahmedandaloes/security-llama3.2-3b-MLX-4bit) |
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| [MLX-6bit](https://huggingface.co/ahmedandaloes/security-llama3.2-3b-MLX-6bit) |
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| [MLX-8bit](https://huggingface.co/ahmedandaloes/security-llama3.2-3b-MLX-8bit) |
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| [MLX-bf16](https://huggingface.co/ahmedandaloes/security-llama3.2-3b-MLX-bf16) |
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GGUF builds: [prithivMLmods/Security-Llama3.2-3B-GGUF](https://huggingface.co/prithivMLmods/Security-Llama3.2-3B-GGUF).
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## Usage
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```bash
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pip install mlx-lm
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```
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```python
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from mlx_lm import load, generate
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model, tok = load("ahmedandaloes/security-llama3.2-3b-MLX-bf16")
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p = tok.apply_chat_template([{"role":"user","content":"Name a common web vulnerability."}], add_generation_prompt=True)
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print(generate(model, tok, prompt=p, max_tokens=200, verbose=True))
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```
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## Attribution
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Source: [viettelsecurity-ai/security-llama3.2-3b](https://huggingface.co/viettelsecurity-ai/security-llama3.2-3b). License per source (Apache-2.0 assumed; verify).
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MLX build for the Apple Silicon community. For **authorized** security work only.
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139
chat_template.jinja
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chat_template.jinja
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{{- bos_token }}
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{%- if custom_tools is defined %}
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{%- set tools = custom_tools %}
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{%- endif %}
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{%- if not tools_in_user_message is defined %}
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{%- set tools_in_user_message = true %}
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{%- endif %}
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{%- if not date_string is defined %}
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{%- set date_string = "26 July 2024" %}
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{%- endif %}
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{%- if not tools is defined %}
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{%- set tools = none %}
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{%- endif %}
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{#- This block extracts the system message, so we can slot it into the right place. #}
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{%- if messages[0]['role'] == 'system' %}
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{%- set system_message = messages[0]['content'] %}
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{%- set messages = messages[1:] %}
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{%- else %}
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{%- set system_message = "" %}
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{%- endif %}
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{#- System message + builtin tools #}
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{{- "<|start_header_id|>system<|end_header_id|>
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" }}
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{%- if builtin_tools is defined or tools is not none %}
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{{- "Environment: ipython
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" }}
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{%- endif %}
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{%- if builtin_tools is defined %}
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{{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "
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"}}
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{%- endif %}
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{{- "Cutting Knowledge Date: December 2023
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" }}
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{{- "Today Date: " + date_string + "
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" }}
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{%- if tools is not none and not tools_in_user_message %}
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{{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
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{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
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{{- "Do not use variables.
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" }}
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{%- for t in tools %}
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{{- t | tojson(indent=4) }}
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{{- "
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" }}
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{%- endfor %}
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{%- endif %}
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{{- system_message }}
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{{- "<|eot_id|>" }}
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{#- Custom tools are passed in a user message with some extra guidance #}
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{%- if tools_in_user_message and not tools is none %}
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{#- Extract the first user message so we can plug it in here #}
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{%- if messages | length != 0 %}
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{%- set first_user_message = messages[0]['content'] %}
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{%- set messages = messages[1:] %}
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{%- else %}
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{{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
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{%- endif %}
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{{- '<|start_header_id|>user<|end_header_id|>
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' -}}
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{{- "Given the following functions, please respond with a JSON for a function call " }}
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{{- "with its proper arguments that best answers the given prompt.
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" }}
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{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
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{{- "Do not use variables.
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" }}
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{%- for t in tools %}
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{{- t | tojson(indent=4) }}
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{{- "
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" }}
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{%- endfor %}
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{{- first_user_message + "<|eot_id|>"}}
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{%- endif %}
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{%- for message in messages %}
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{%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
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{{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>
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'+ message['content'] + '<|eot_id|>' }}
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{%- elif 'tool_calls' in message %}
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{%- if not message.tool_calls|length == 1 %}
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{{- raise_exception("This model only supports single tool-calls at once!") }}
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{%- endif %}
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{%- set tool_call = message.tool_calls[0].function %}
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{%- if builtin_tools is defined and tool_call.name in builtin_tools %}
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{{- '<|start_header_id|>assistant<|end_header_id|>
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' -}}
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{{- "<|python_tag|>" + tool_call.name + ".call(" }}
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{%- for arg_name, arg_val in tool_call.arguments | items %}
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{{- arg_name + '="' + arg_val + '"' }}
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{%- if not loop.last %}
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{{- ", " }}
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{%- endif %}
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{%- endfor %}
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{{- ")" }}
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{%- else %}
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{{- '<|start_header_id|>assistant<|end_header_id|>
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' -}}
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{{- '{"name": "' + tool_call.name + '", ' }}
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{{- '"parameters": ' }}
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{{- tool_call.arguments | tojson }}
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{{- "}" }}
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{%- endif %}
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{%- if builtin_tools is defined %}
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{#- This means we're in ipython mode #}
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{{- "<|eom_id|>" }}
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{%- else %}
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{{- "<|eot_id|>" }}
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{%- endif %}
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{%- elif message.role == "tool" or message.role == "ipython" %}
|
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{{- "<|start_header_id|>ipython<|end_header_id|>
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" }}
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{%- if message.content is mapping or message.content is iterable %}
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{{- message.content | tojson }}
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{%- else %}
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{{- message.content }}
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{%- endif %}
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{{- "<|eot_id|>" }}
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||||
{%- endif %}
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||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
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{{- '<|start_header_id|>assistant<|end_header_id|>
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' }}
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||||
{%- endif %}
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42
config.json
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"head_dim": 128,
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"hidden_act": "silu",
|
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"hidden_size": 3072,
|
||||
"initializer_range": 0.02,
|
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"intermediate_size": 8192,
|
||||
"max_position_embeddings": 131072,
|
||||
"mlp_bias": false,
|
||||
"model_type": "llama",
|
||||
"num_attention_heads": 24,
|
||||
"num_hidden_layers": 28,
|
||||
"num_key_value_heads": 8,
|
||||
"pad_token_id": 128004,
|
||||
"pretraining_tp": 1,
|
||||
"rms_norm_eps": 1e-05,
|
||||
"rope_scaling": {
|
||||
"factor": 32.0,
|
||||
"high_freq_factor": 4.0,
|
||||
"low_freq_factor": 1.0,
|
||||
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|
||||
"rope_type": "llama3"
|
||||
},
|
||||
"rope_theta": 500000.0,
|
||||
"tie_word_embeddings": true,
|
||||
"torch_dtype": "float16",
|
||||
"transformers_version": "4.46.3",
|
||||
"unsloth_fixed": true,
|
||||
"unsloth_version": "2025.2.15",
|
||||
"use_cache": true,
|
||||
"vocab_size": 128256
|
||||
}
|
||||
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generation_config.json
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generation_config.json
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|
||||
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|
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"max_length": 131072,
|
||||
"pad_token_id": 128004,
|
||||
"temperature": 0.6,
|
||||
"top_p": 0.9,
|
||||
"transformers_version": "4.46.3"
|
||||
}
|
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||||
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.norm.weight": "model-00002-of-00002.safetensors"
|
||||
}
|
||||
}
|
||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
17
tokenizer_config.json
Normal file
17
tokenizer_config.json
Normal file
@@ -0,0 +1,17 @@
|
||||
{
|
||||
"backend": "tokenizers",
|
||||
"bos_token": "<|begin_of_text|>",
|
||||
"clean_up_tokenization_spaces": true,
|
||||
"eos_token": "<|eot_id|>",
|
||||
"is_local": true,
|
||||
"local_files_only": false,
|
||||
"model_input_names": [
|
||||
"input_ids",
|
||||
"attention_mask"
|
||||
],
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|finetune_right_pad_id|>",
|
||||
"padding_side": "left",
|
||||
"tokenizer_class": "TokenizersBackend",
|
||||
"unk_token": null
|
||||
}
|
||||
Reference in New Issue
Block a user