huihui_ai/
qwen3-coder-abliterated:30b-a3b-instruct-q3_K_M

1,720 2 weeks ago

Qwen3-Coder featuring the following key enhancements: Significant Performance, Long-context Capabilities, Agentic Coding.

30b 480b

4 weeks ago

718dde2595a9 · 15GB

qwen3moe
·
30.5B
·
Q3_K_M
{{- if .System }}<|im_start|>system {{ .System }}<|im_end|> {{ end }} {{- range $i, $_ := .Messages
Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR US
{ "repeat_penalty": 1.05, "stop": [ "<|im_start|>", "<|im_end|>", "<

Readme

This is an uncensored version of Qwen/qwen3-coder created with abliteration (see remove-refusals-with-transformers to know more about it).
This is a crude, proof-of-concept implementation to remove refusals from an LLM model

480B Parameter description

1. num_gpu
The value of num_gpu inside the model is 1, which means it defaults to loading one layer. All others will be loaded into CPU memory. You can modify num_gpu according to your GPU configuration.

/set parameter num_gpu 2

2. num_thread
“num_thread” refers to the number of cores in your computer, and it’s recommended to use half of that, Otherwise, the CPU will be at 100%.

/set parameter num_thread 32

3. num_ctx
“num_ctx” for ollama refers to the number of context slots or the number of contexts the model can maintain during inference.

/set parameter num_ctx 4096

Usage Warnings

Risk of Sensitive or Controversial Outputs“: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs.

Not Suitable for All Audiences:“ Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security.

Legal and Ethical Responsibilities“: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal or ethical risks, and users are solely responsible for any consequences.

Research and Experimental Use“: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications.

Monitoring and Review Recommendations“: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.

No Default Safety Guarantees“: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use.

References

HuggingFace

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