Text Generation
Transformers
Safetensors
English
ling
bailing-moe
uncensored
abliterated
uncensored-llm
no-refusal
Mixture of Experts
mixture-of-experts
linear-attention
apple-silicon
mps
reasoning
cybersecurity
red-teaming
conversational
custom_code
Instructions to use Securelayer7/Ling-3.0-tiny-Uncensored-Abliterated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Securelayer7/Ling-3.0-tiny-Uncensored-Abliterated with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Securelayer7/Ling-3.0-tiny-Uncensored-Abliterated", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Securelayer7/Ling-3.0-tiny-Uncensored-Abliterated", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Securelayer7/Ling-3.0-tiny-Uncensored-Abliterated with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Securelayer7/Ling-3.0-tiny-Uncensored-Abliterated" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Securelayer7/Ling-3.0-tiny-Uncensored-Abliterated", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Securelayer7/Ling-3.0-tiny-Uncensored-Abliterated
- SGLang
How to use Securelayer7/Ling-3.0-tiny-Uncensored-Abliterated 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 "Securelayer7/Ling-3.0-tiny-Uncensored-Abliterated" \ --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": "Securelayer7/Ling-3.0-tiny-Uncensored-Abliterated", "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 "Securelayer7/Ling-3.0-tiny-Uncensored-Abliterated" \ --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": "Securelayer7/Ling-3.0-tiny-Uncensored-Abliterated", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Securelayer7/Ling-3.0-tiny-Uncensored-Abliterated with Docker Model Runner:
docker model run hf.co/Securelayer7/Ling-3.0-tiny-Uncensored-Abliterated
File size: 6,041 Bytes
e3170eb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 | {#- Bailing V3 chat template -#}
{#- Supports: thinking option, tool calling -#}
{#- ==================== thinking option normalization ==================== -#}
{%- if enable_thinking is defined %}
{%- if enable_thinking %}
{%- set thinking_option = 'on' %}
{%- else %}
{%- set thinking_option = 'off' %}
{%- endif %}
{%- elif thinking_option is not defined %}
{%- set thinking_option = 'on' %}
{%- endif %}
{#- ==================== preserved thinking ==================== -#}
{% set preserved_thinking = true %}
{#- ==================== system message ==================== -#}
{{- '<role>SYSTEM</role>' }}
{%- if tools %}
{%- if messages[0].role == 'system' %}
{{- messages[0].content + '\n' }}
{%- endif %}
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
{%- for tool in tools %}
{{- "\n" }}
{{- tool | tojson }}
{%- endfor %}
{{- "\n</tools>\n\nIf none of the functions can be used, point it out. If the given question lacks the parameters required by the function, also point it out.\nIf you need to use a function, for each function call, output the function name and arguments within the following XML format:\n<tool_call>{function-name}\n<arg_key>{arg-key-1}</arg_key>\n<arg_value>{arg-value-1}</arg_value>\n<arg_key>{arg-key-2}</arg_key>\n<arg_value>{arg-value-2}</arg_value>\n...\n</tool_call>\n" }}
{%- if messages[0].role == 'system' and messages[0].content is string and ('detailed thinking on' in messages[0].content or 'detailed thinking off' in messages[0].content) %}
{{- '<|role_end|>' }}
{%- else %}
{{- 'detailed thinking ' + thinking_option + '<|role_end|>' }}
{%- endif %}
{%- else %}
{%- if messages[0].role == 'system' %}
{%- if 'detailed thinking on' in messages[0].content or 'detailed thinking off' in messages[0].content %}
{{- messages[0].content + '<|role_end|>' }}
{%- else %}
{{- messages[0].content + '\n' }}
{{- 'detailed thinking ' + thinking_option + '<|role_end|>' }}
{%- endif %}
{% else %}
{{- 'detailed thinking ' + thinking_option + '<|role_end|>' }}
{%- endif %}
{%- endif %}
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
{%- for message in messages[::-1] %}
{%- set index = (messages|length - 1) - loop.index0 %}
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
{%- set ns.multi_step_tool = false %}
{%- set ns.last_query_index = index %}
{%- endif %}
{%- endfor %}
{%- for message in messages %}
{%- if message.content is string %}
{%- set content = message.content %}
{%- else %}
{%- set content = '' %}
{%- endif %}
{%- if message.role == "user" %}
{{- '<role>HUMAN</role>' + message.content + '<|role_end|>' }}
{%- elif message.role == "system" and not loop.first %}
{{- '<role>SYSTEM</role>' + message.content + '<|role_end|>' }}
{%- elif message.role == "assistant" %}
{%- set reasoning_content = '' %}
{%- if message.reasoning_content is string and message.reasoning_content != '' %}
{%- set reasoning_content = message.reasoning_content %}
{%- else %}
{%- if '</think>' in content %}
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
{%- endif %}
{%- endif %}
{%- if preserved_thinking or loop.index0 > ns.last_query_index %}
{%- if reasoning_content != '' %}
{{- '<role>ASSISTANT</role>' + '\n<think>' + reasoning_content.strip('\n') + '</think>' + content.lstrip('\n') }}
{%- else %}
{{- '<role>ASSISTANT</role>\n<think></think>' + content }}
{%- endif %}
{%- else %}
{{- '<role>ASSISTANT</role>\n<think></think>' + content }}
{%- endif %}
{%- if message.tool_calls %}
{%- for tool_call in message.tool_calls %}
{%- if (loop.first and content) or (not loop.first) %}
{{- '\n' }}
{%- endif %}
{%- set tc = tool_call %}
{%- if tool_call.function %}
{%- set tc = tool_call.function %}
{%- endif %}
{{- '<tool_call>' + tc.name }}
{% set _args = tc.arguments %}
{%- for k, v in _args.items() %}
{{- '<arg_key>' + k + '</arg_key>' }}
{{- '\n<arg_value>' }}
{%- if v is string %}
{{- v }}
{%- else %}
{{- v | tojson(ensure_ascii=False) }}
{%- endif %}
{{- '</arg_value>' }}
{%- endfor %}
{{- '\n</tool_call>' }}
{%- endfor %}
{%- endif %}
{{- '<|role_end|>' }}
{%- elif message.role == "tool" %}
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
{{- '<role>OBSERVATION</role>' }}
{%- endif %}
{{- '\n<tool_response>\n' }}
{{- content }}
{{- '\n</tool_response>' }}
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
{{- '<|role_end|>' }}
{%- endif %}
{%- endif %}
{%- endfor %}
{#- ==================== generation prompt ==================== -#}
{%- if add_generation_prompt %}
{{- '<role>ASSISTANT</role>' }}
{%- if thinking_option == 'on' %}
{{- '\n<think>' }}
{%- elif thinking_option == 'off' %}
{{- '\n<think></think>' }}
{%- endif %}
{%- endif %} |