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- .gitattributes +1 -0
- LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/.gitattributes +40 -0
- LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/README.md +132 -0
- LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/added_tokens.json +28 -0
- LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/chat_template.jinja +120 -0
- LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/config.json +64 -0
- LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/generation_config.json +13 -0
- LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/merges.txt +0 -0
- LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/model.safetensors.index.json +758 -0
- LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/preprocessor_config.json +39 -0
- LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/special_tokens_map.json +31 -0
- LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/tokenizer.json +3 -0
- LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/tokenizer_config.json +240 -0
- LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/video_preprocessor_config.json +41 -0
- LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/vocab.json +0 -0
- loras/Kontext/LORA_flux_kontext_depth_reference_cotrol.metadata.json +22 -0
- loras/Pony/jgirl.metadata.json +22 -0
- loras/Pony/jp_asian1.metadata.json +22 -0
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- loras/SDXL/Hyper-SDXL-12steps-CFG-lora.metadata.json +22 -0
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- loras/SDXL/add_detail.metadata.json +22 -0
- loras/SDXL/asian beauty face-SDXL-V1.metadata.json +22 -0
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- loras/WAN2.2/23High noise-Cumshot Aesthetics.metadata.json +22 -0
- loras/WAN2.2/56Low noise-Cumshot Aesthetics.metadata.json +22 -0
- loras/WAN2.2/DR34ML4Y_I2V_14B_HIGH.metadata.json +22 -0
- loras/WAN2.2/DR34ML4Y_I2V_14B_LOW.metadata.json +22 -0
- loras/WAN2.2/NSFW-22-H-e8.metadata.json +22 -0
- loras/WAN2.2/NSFW-22-L-e8.metadata.json +22 -0
- loras/WAN2.2/Wan2.2 - I2V - Missionary Sex - HIGH 14B.metadata.json +22 -0
- loras/WAN2.2/Wan2.2 - I2V - Missionary Sex - LOW 14B.metadata.json +22 -0
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- loras/WAN2.2/wan2.2-i2v-high-oral-insertion-v1.0.metadata.json +22 -0
- loras/WAN2.2/wan2.2-i2v-high-sex-fov-slider-v1.0.metadata.json +22 -0
- loras/WAN2.2/wan2.2-i2v-low-oral-insertion-v1.0.metadata.json +22 -0
- loras/WAN2.2/wan2.2-i2v-low-sex-fov-slider-v1.0.metadata.json +22 -0
- loras/WAN2.2/wan2.2_i2v_highnoise_pov_missionary_v1.0.metadata.json +22 -0
- loras/WAN2.2/wan2.2_i2v_lownoise_pov_missionary_v1.0.metadata.json +22 -0
- loras/WAN2.2/wan22-f4c3spl4sh-100epoc-high-k3nk.metadata.json +22 -0
- loras/WAN2.2/wan22-f4c3spl4sh-154epoc-low-k3nk.metadata.json +22 -0
- loras/WAN2.2/wan22-ultimatedeepthroat-I2V-101epoc-low-k3nk.metadata.json +22 -0
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LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/README.md
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| 1 |
+
---
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| 2 |
+
license: apache-2.0
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| 3 |
+
base_model:
|
| 4 |
+
- Qwen/Qwen3-VL-8B-Instruct
|
| 5 |
+
pipeline_tag: image-text-to-text
|
| 6 |
+
tags:
|
| 7 |
+
- abliterated
|
| 8 |
+
- uncensored
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| 9 |
+
library_name: transformers
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| 10 |
+
---
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| 11 |
+
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| 12 |
+
# huihui-ai/Huihui-Qwen3-VL-8B-Instruct-abliterated
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| 13 |
+
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| 14 |
+
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| 15 |
+
This is an uncensored version of [Qwen/Qwen3-VL-8B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).
|
| 16 |
+
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It was only the text part that was processed, not the image part.
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The abliterated model will no longer say "I can’t describe or analyze this image."
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| 20 |
+
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## GGUF
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| 22 |
+
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| 23 |
+
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[llama.cpp.tr-qwen3-vl-6-b7106-495c611](https://github.com/Thireus/llama.cpp/releases/tag/tr-qwen3-vl-6-b7106-495c611) now supports conversion to GGUF format and can be tested using llama-mtmd-cli.
|
| 25 |
+
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| 26 |
+
The [GGUF](https://huggingface.co/huihui-ai/Huihui-Qwen3-VL-8B-Instruct-abliterated/tree/main/GGUF) file has been uploaded.
|
| 27 |
+
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| 28 |
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```
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| 29 |
+
llama-mtmd-cli -m huihui-ai/Huihui-Qwen3-VL-8B-Instruct-abliterated/GGUF/ggml-model-f16.gguf --mmproj huihui-ai/Huihui-Qwen3-VL-8B-Instruct-abliterated/GGUF/mmproj-model-f16.gguf -c 4096 --image png/cc.jpg -p "Describe this image."
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+
```
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| 31 |
+
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If it's just for chatting, you can use llama-cli.
|
| 33 |
+
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| 34 |
+
```
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| 35 |
+
llama-cli -m huihui-ai/Huihui-Qwen3-VL-8B-Instruct-abliterated/GGUF/ggml-model-f16.gguf -c 40960
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| 36 |
+
```
|
| 37 |
+
|
| 38 |
+
|
| 39 |
+
## Chat with Image
|
| 40 |
+
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| 41 |
+
```
|
| 42 |
+
from transformers import Qwen3VLForConditionalGeneration, AutoProcessor, BitsAndBytesConfig
|
| 43 |
+
import os
|
| 44 |
+
import torch
|
| 45 |
+
|
| 46 |
+
cpu_count = os.cpu_count()
|
| 47 |
+
print(f"Number of CPU cores in the system: {cpu_count}")
|
| 48 |
+
half_cpu_count = cpu_count // 2
|
| 49 |
+
os.environ["MKL_NUM_THREADS"] = str(half_cpu_count)
|
| 50 |
+
os.environ["OMP_NUM_THREADS"] = str(half_cpu_count)
|
| 51 |
+
torch.set_num_threads(half_cpu_count)
|
| 52 |
+
|
| 53 |
+
MODEL_ID = "huihui-ai/Huihui-Qwen3-VL-8B-Instruct-abliterated"
|
| 54 |
+
|
| 55 |
+
# default: Load the model on the available device(s)
|
| 56 |
+
model = Qwen3VLForConditionalGeneration.from_pretrained(
|
| 57 |
+
MODEL_ID,
|
| 58 |
+
device_map="auto",
|
| 59 |
+
trust_remote_code=True,
|
| 60 |
+
dtype=torch.bfloat16,
|
| 61 |
+
low_cpu_mem_usage=True,
|
| 62 |
+
)
|
| 63 |
+
# We recommend enabling flash_attention_2 for better acceleration and memory saving, especially in multi-image and video scenarios.
|
| 64 |
+
# model = Qwen3VLForConditionalGeneration.from_pretrained(
|
| 65 |
+
# "Qwen/Qwen3-VL-235B-A22B-Instruct",
|
| 66 |
+
# dtype=torch.bfloat16,
|
| 67 |
+
# attn_implementation="flash_attention_2",
|
| 68 |
+
# device_map="auto",
|
| 69 |
+
# )
|
| 70 |
+
|
| 71 |
+
processor = AutoProcessor.from_pretrained(MODEL_ID)
|
| 72 |
+
|
| 73 |
+
|
| 74 |
+
image_path = "/png/cars.jpg"
|
| 75 |
+
|
| 76 |
+
messages = [
|
| 77 |
+
{
|
| 78 |
+
"role": "user",
|
| 79 |
+
"content": [
|
| 80 |
+
{
|
| 81 |
+
"type": "image", "image": f"{image_path}",
|
| 82 |
+
},
|
| 83 |
+
{"type": "text", "text": "Describe this image."},
|
| 84 |
+
],
|
| 85 |
+
}
|
| 86 |
+
]
|
| 87 |
+
|
| 88 |
+
# Preparation for inference
|
| 89 |
+
inputs = processor.apply_chat_template(
|
| 90 |
+
messages,
|
| 91 |
+
tokenize=True,
|
| 92 |
+
add_generation_prompt=True,
|
| 93 |
+
return_dict=True,
|
| 94 |
+
return_tensors="pt"
|
| 95 |
+
).to(model.device)
|
| 96 |
+
|
| 97 |
+
# Inference: Generation of the output
|
| 98 |
+
generated_ids = model.generate(**inputs, max_new_tokens=128)
|
| 99 |
+
generated_ids_trimmed = [
|
| 100 |
+
out_ids[len(in_ids) :] for in_ids, out_ids in zip(inputs.input_ids, generated_ids)
|
| 101 |
+
]
|
| 102 |
+
output_text = processor.batch_decode(
|
| 103 |
+
generated_ids_trimmed, skip_special_tokens=True, clean_up_tokenization_spaces=False
|
| 104 |
+
)
|
| 105 |
+
print(output_text)
|
| 106 |
+
|
| 107 |
+
```
|
| 108 |
+
|
| 109 |
+
|
| 110 |
+
### Usage Warnings
|
| 111 |
+
|
| 112 |
+
|
| 113 |
+
- **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.
|
| 114 |
+
|
| 115 |
+
- **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.
|
| 116 |
+
|
| 117 |
+
- **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.
|
| 118 |
+
|
| 119 |
+
- **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.
|
| 120 |
+
|
| 121 |
+
- **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.
|
| 122 |
+
|
| 123 |
+
- **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.
|
| 124 |
+
|
| 125 |
+
|
| 126 |
+
### Donation
|
| 127 |
+
##### Your donation helps us continue our further development and improvement, a cup of coffee can do it.
|
| 128 |
+
- bitcoin:
|
| 129 |
+
```
|
| 130 |
+
bc1qqnkhuchxw0zqjh2ku3lu4hq45hc6gy84uk70ge
|
| 131 |
+
```
|
| 132 |
+
- Support our work on [Ko-fi](https://ko-fi.com/huihuiai)!
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LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/added_tokens.json
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</think>": 151668,
|
| 3 |
+
"</tool_call>": 151658,
|
| 4 |
+
"</tool_response>": 151666,
|
| 5 |
+
"<think>": 151667,
|
| 6 |
+
"<tool_call>": 151657,
|
| 7 |
+
"<tool_response>": 151665,
|
| 8 |
+
"<|box_end|>": 151649,
|
| 9 |
+
"<|box_start|>": 151648,
|
| 10 |
+
"<|endoftext|>": 151643,
|
| 11 |
+
"<|file_sep|>": 151664,
|
| 12 |
+
"<|fim_middle|>": 151660,
|
| 13 |
+
"<|fim_pad|>": 151662,
|
| 14 |
+
"<|fim_prefix|>": 151659,
|
| 15 |
+
"<|fim_suffix|>": 151661,
|
| 16 |
+
"<|im_end|>": 151645,
|
| 17 |
+
"<|im_start|>": 151644,
|
| 18 |
+
"<|image_pad|>": 151655,
|
| 19 |
+
"<|object_ref_end|>": 151647,
|
| 20 |
+
"<|object_ref_start|>": 151646,
|
| 21 |
+
"<|quad_end|>": 151651,
|
| 22 |
+
"<|quad_start|>": 151650,
|
| 23 |
+
"<|repo_name|>": 151663,
|
| 24 |
+
"<|video_pad|>": 151656,
|
| 25 |
+
"<|vision_end|>": 151653,
|
| 26 |
+
"<|vision_pad|>": 151654,
|
| 27 |
+
"<|vision_start|>": 151652
|
| 28 |
+
}
|
LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/chat_template.jinja
ADDED
|
@@ -0,0 +1,120 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0].role == 'system' %}
|
| 4 |
+
{%- if messages[0].content is string %}
|
| 5 |
+
{{- messages[0].content }}
|
| 6 |
+
{%- else %}
|
| 7 |
+
{%- for content in messages[0].content %}
|
| 8 |
+
{%- if 'text' in content %}
|
| 9 |
+
{{- content.text }}
|
| 10 |
+
{%- endif %}
|
| 11 |
+
{%- endfor %}
|
| 12 |
+
{%- endif %}
|
| 13 |
+
{{- '\n\n' }}
|
| 14 |
+
{%- endif %}
|
| 15 |
+
{{- "# 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>" }}
|
| 16 |
+
{%- for tool in tools %}
|
| 17 |
+
{{- "\n" }}
|
| 18 |
+
{{- tool | tojson }}
|
| 19 |
+
{%- endfor %}
|
| 20 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 21 |
+
{%- else %}
|
| 22 |
+
{%- if messages[0].role == 'system' %}
|
| 23 |
+
{{- '<|im_start|>system\n' }}
|
| 24 |
+
{%- if messages[0].content is string %}
|
| 25 |
+
{{- messages[0].content }}
|
| 26 |
+
{%- else %}
|
| 27 |
+
{%- for content in messages[0].content %}
|
| 28 |
+
{%- if 'text' in content %}
|
| 29 |
+
{{- content.text }}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{%- endfor %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '<|im_end|>\n' }}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{%- endif %}
|
| 36 |
+
{%- set image_count = namespace(value=0) %}
|
| 37 |
+
{%- set video_count = namespace(value=0) %}
|
| 38 |
+
{%- for message in messages %}
|
| 39 |
+
{%- if message.role == "user" %}
|
| 40 |
+
{{- '<|im_start|>' + message.role + '\n' }}
|
| 41 |
+
{%- if message.content is string %}
|
| 42 |
+
{{- message.content }}
|
| 43 |
+
{%- else %}
|
| 44 |
+
{%- for content in message.content %}
|
| 45 |
+
{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
|
| 46 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 47 |
+
{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
|
| 48 |
+
<|vision_start|><|image_pad|><|vision_end|>
|
| 49 |
+
{%- elif content.type == 'video' or 'video' in content %}
|
| 50 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 51 |
+
{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
|
| 52 |
+
<|vision_start|><|video_pad|><|vision_end|>
|
| 53 |
+
{%- elif 'text' in content %}
|
| 54 |
+
{{- content.text }}
|
| 55 |
+
{%- endif %}
|
| 56 |
+
{%- endfor %}
|
| 57 |
+
{%- endif %}
|
| 58 |
+
{{- '<|im_end|>\n' }}
|
| 59 |
+
{%- elif message.role == "assistant" %}
|
| 60 |
+
{{- '<|im_start|>' + message.role + '\n' }}
|
| 61 |
+
{%- if message.content is string %}
|
| 62 |
+
{{- message.content }}
|
| 63 |
+
{%- else %}
|
| 64 |
+
{%- for content_item in message.content %}
|
| 65 |
+
{%- if 'text' in content_item %}
|
| 66 |
+
{{- content_item.text }}
|
| 67 |
+
{%- endif %}
|
| 68 |
+
{%- endfor %}
|
| 69 |
+
{%- endif %}
|
| 70 |
+
{%- if message.tool_calls %}
|
| 71 |
+
{%- for tool_call in message.tool_calls %}
|
| 72 |
+
{%- if (loop.first and message.content) or (not loop.first) %}
|
| 73 |
+
{{- '\n' }}
|
| 74 |
+
{%- endif %}
|
| 75 |
+
{%- if tool_call.function %}
|
| 76 |
+
{%- set tool_call = tool_call.function %}
|
| 77 |
+
{%- endif %}
|
| 78 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 79 |
+
{{- tool_call.name }}
|
| 80 |
+
{{- '", "arguments": ' }}
|
| 81 |
+
{%- if tool_call.arguments is string %}
|
| 82 |
+
{{- tool_call.arguments }}
|
| 83 |
+
{%- else %}
|
| 84 |
+
{{- tool_call.arguments | tojson }}
|
| 85 |
+
{%- endif %}
|
| 86 |
+
{{- '}\n</tool_call>' }}
|
| 87 |
+
{%- endfor %}
|
| 88 |
+
{%- endif %}
|
| 89 |
+
{{- '<|im_end|>\n' }}
|
| 90 |
+
{%- elif message.role == "tool" %}
|
| 91 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 92 |
+
{{- '<|im_start|>user' }}
|
| 93 |
+
{%- endif %}
|
| 94 |
+
{{- '\n<tool_response>\n' }}
|
| 95 |
+
{%- if message.content is string %}
|
| 96 |
+
{{- message.content }}
|
| 97 |
+
{%- else %}
|
| 98 |
+
{%- for content in message.content %}
|
| 99 |
+
{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
|
| 100 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 101 |
+
{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
|
| 102 |
+
<|vision_start|><|image_pad|><|vision_end|>
|
| 103 |
+
{%- elif content.type == 'video' or 'video' in content %}
|
| 104 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 105 |
+
{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
|
| 106 |
+
<|vision_start|><|video_pad|><|vision_end|>
|
| 107 |
+
{%- elif 'text' in content %}
|
| 108 |
+
{{- content.text }}
|
| 109 |
+
{%- endif %}
|
| 110 |
+
{%- endfor %}
|
| 111 |
+
{%- endif %}
|
| 112 |
+
{{- '\n</tool_response>' }}
|
| 113 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 114 |
+
{{- '<|im_end|>\n' }}
|
| 115 |
+
{%- endif %}
|
| 116 |
+
{%- endif %}
|
| 117 |
+
{%- endfor %}
|
| 118 |
+
{%- if add_generation_prompt %}
|
| 119 |
+
{{- '<|im_start|>assistant\n' }}
|
| 120 |
+
{%- endif %}
|
LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/config.json
ADDED
|
@@ -0,0 +1,64 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3VLForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"dtype": "bfloat16",
|
| 6 |
+
"image_token_id": 151655,
|
| 7 |
+
"model_type": "qwen3_vl",
|
| 8 |
+
"text_config": {
|
| 9 |
+
"attention_bias": false,
|
| 10 |
+
"attention_dropout": 0.0,
|
| 11 |
+
"bos_token_id": 151643,
|
| 12 |
+
"dtype": "bfloat16",
|
| 13 |
+
"eos_token_id": 151645,
|
| 14 |
+
"head_dim": 128,
|
| 15 |
+
"hidden_act": "silu",
|
| 16 |
+
"hidden_size": 4096,
|
| 17 |
+
"initializer_range": 0.02,
|
| 18 |
+
"intermediate_size": 12288,
|
| 19 |
+
"max_position_embeddings": 262144,
|
| 20 |
+
"model_type": "qwen3_vl_text",
|
| 21 |
+
"num_attention_heads": 32,
|
| 22 |
+
"num_hidden_layers": 36,
|
| 23 |
+
"num_key_value_heads": 8,
|
| 24 |
+
"rms_norm_eps": 1e-06,
|
| 25 |
+
"rope_scaling": {
|
| 26 |
+
"mrope_interleaved": true,
|
| 27 |
+
"mrope_section": [
|
| 28 |
+
24,
|
| 29 |
+
20,
|
| 30 |
+
20
|
| 31 |
+
],
|
| 32 |
+
"rope_type": "default"
|
| 33 |
+
},
|
| 34 |
+
"rope_theta": 5000000,
|
| 35 |
+
"use_cache": true,
|
| 36 |
+
"vocab_size": 151936
|
| 37 |
+
},
|
| 38 |
+
"tie_word_embeddings": false,
|
| 39 |
+
"transformers_version": "4.57.1",
|
| 40 |
+
"video_token_id": 151656,
|
| 41 |
+
"vision_config": {
|
| 42 |
+
"deepstack_visual_indexes": [
|
| 43 |
+
8,
|
| 44 |
+
16,
|
| 45 |
+
24
|
| 46 |
+
],
|
| 47 |
+
"depth": 27,
|
| 48 |
+
"dtype": "bfloat16",
|
| 49 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 50 |
+
"hidden_size": 1152,
|
| 51 |
+
"in_channels": 3,
|
| 52 |
+
"initializer_range": 0.02,
|
| 53 |
+
"intermediate_size": 4304,
|
| 54 |
+
"model_type": "qwen3_vl",
|
| 55 |
+
"num_heads": 16,
|
| 56 |
+
"num_position_embeddings": 2304,
|
| 57 |
+
"out_hidden_size": 4096,
|
| 58 |
+
"patch_size": 16,
|
| 59 |
+
"spatial_merge_size": 2,
|
| 60 |
+
"temporal_patch_size": 2
|
| 61 |
+
},
|
| 62 |
+
"vision_end_token_id": 151653,
|
| 63 |
+
"vision_start_token_id": 151652
|
| 64 |
+
}
|
LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/generation_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
151645,
|
| 6 |
+
151643
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 151643,
|
| 9 |
+
"temperature": 0.7,
|
| 10 |
+
"top_k": 20,
|
| 11 |
+
"top_p": 0.8,
|
| 12 |
+
"transformers_version": "4.57.1"
|
| 13 |
+
}
|
LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/model.safetensors.index.json
ADDED
|
@@ -0,0 +1,758 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
| 740 |
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|
| 741 |
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|
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|
| 744 |
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|
| 749 |
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| 757 |
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|
| 758 |
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|
LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/preprocessor_config.json
ADDED
|
@@ -0,0 +1,39 @@
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|
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|
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|
| 1 |
+
{
|
| 2 |
+
"crop_size": null,
|
| 3 |
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"data_format": "channels_first",
|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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"do_rescale": true,
|
| 12 |
+
"do_resize": true,
|
| 13 |
+
"image_mean": [
|
| 14 |
+
0.5,
|
| 15 |
+
0.5,
|
| 16 |
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0.5
|
| 17 |
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],
|
| 18 |
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"image_processor_type": "Qwen2VLImageProcessorFast",
|
| 19 |
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"image_std": [
|
| 20 |
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0.5,
|
| 21 |
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0.5,
|
| 22 |
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|
| 23 |
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],
|
| 24 |
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|
| 25 |
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"max_pixels": null,
|
| 26 |
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|
| 27 |
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|
| 28 |
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"pad_size": null,
|
| 29 |
+
"patch_size": 16,
|
| 30 |
+
"processor_class": "Qwen3VLProcessor",
|
| 31 |
+
"resample": 3,
|
| 32 |
+
"rescale_factor": 0.00392156862745098,
|
| 33 |
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|
| 34 |
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"size": {
|
| 35 |
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|
| 36 |
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"shortest_edge": 65536
|
| 37 |
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},
|
| 38 |
+
"temporal_patch_size": 2
|
| 39 |
+
}
|
LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
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|
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|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
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|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"eos_token": {
|
| 18 |
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"content": "<|im_end|>",
|
| 19 |
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"lstrip": false,
|
| 20 |
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"normalized": false,
|
| 21 |
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"rstrip": false,
|
| 22 |
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|
| 23 |
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},
|
| 24 |
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"pad_token": {
|
| 25 |
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| 26 |
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| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
+
}
|
| 31 |
+
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|
LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
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| 3 |
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size 11422654
|
LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/tokenizer_config.json
ADDED
|
@@ -0,0 +1,240 @@
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|
| 1 |
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|
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|
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|
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|
| 16 |
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|
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|
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|
| 19 |
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|
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|
| 28 |
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| 30 |
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|
| 31 |
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| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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| 37 |
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|
| 38 |
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|
| 41 |
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| 42 |
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| 43 |
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|
| 44 |
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|
| 76 |
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|
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|
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|
| 100 |
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|
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|
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|
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|
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|
| 116 |
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| 117 |
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|
| 118 |
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|
| 119 |
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|
| 124 |
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| 126 |
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|
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|
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|
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|
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LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/video_preprocessor_config.json
ADDED
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@@ -0,0 +1,41 @@
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LLM/Huihui-Qwen3-VL-8B-Instruct-abliterated/vocab.json
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The diff for this file is too large to render.
See raw diff
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loras/Kontext/LORA_flux_kontext_depth_reference_cotrol.metadata.json
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loras/Pony/jgirl.metadata.json
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loras/Pony/jp_asian1.metadata.json
ADDED
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loras/SDXL/3d_lou.metadata.json
ADDED
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loras/SDXL/Hyper-SDXL-12steps-CFG-lora.metadata.json
ADDED
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loras/SDXL/NSFWFilterXL_animagine.metadata.json
ADDED
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loras/SDXL/PornMaster-Fantasy style-V1.metadata.json
ADDED
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
loras/SDXL/add-detail-xl.metadata.json
ADDED
|
@@ -0,0 +1,22 @@
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"file_name": "add-detail-xl",
|
| 3 |
+
"model_name": "add-detail-xl",
|
| 4 |
+
"file_path": "/home/ComfyUI/models/loras/SDXL/add-detail-xl.safetensors",
|
| 5 |
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"size": 228452344,
|
| 6 |
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|
| 7 |
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"sha256": "0d9bd1b873a7863e128b4672e3e245838858f71469a3cec58123c16c06f83bd7",
|
| 8 |
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|
| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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|
| 16 |
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| 17 |
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| 18 |
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| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
loras/SDXL/add_detail.metadata.json
ADDED
|
@@ -0,0 +1,22 @@
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|
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|
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|
|
|
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|
|
|
|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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|
| 20 |
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| 21 |
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|
| 22 |
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loras/SDXL/asian beauty face-SDXL-V1.metadata.json
ADDED
|
@@ -0,0 +1,22 @@
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|
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|
|
|
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|
|
| 1 |
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{
|
| 2 |
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"file_name": "asian beauty face-SDXL-V1",
|
| 3 |
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"model_name": "asian beauty face-SDXL-V1",
|
| 4 |
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"file_path": "/home/ComfyUI/models/loras/SDXL/asian beauty face-SDXL-V1.safetensors",
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 16 |
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| 17 |
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| 18 |
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| 20 |
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| 21 |
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| 22 |
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loras/SDXL/asian_beauty_v2.metadata.json
ADDED
|
@@ -0,0 +1,22 @@
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|
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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| 5 |
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| 9 |
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| 11 |
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| 13 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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loras/SDXL/handsdetail.metadata.json
ADDED
|
@@ -0,0 +1,22 @@
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|
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|
| 1 |
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{
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 17 |
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loras/SDXL/mix4.metadata.json
ADDED
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@@ -0,0 +1,22 @@
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|
| 1 |
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{
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 22 |
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loras/WAN/nsfw_wan_umt5-xxl_fp8_scaled.metadata.json
ADDED
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@@ -0,0 +1,22 @@
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| 1 |
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{
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| 3 |
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| 4 |
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loras/WAN/wan-nsfw-e14-fixed.metadata.json
ADDED
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@@ -0,0 +1,22 @@
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loras/WAN2.2/23High noise-Cumshot Aesthetics.metadata.json
ADDED
|
@@ -0,0 +1,22 @@
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{
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| 3 |
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loras/WAN2.2/56Low noise-Cumshot Aesthetics.metadata.json
ADDED
|
@@ -0,0 +1,22 @@
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{
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"file_name": "56Low noise-Cumshot Aesthetics",
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"model_name": "56Low noise-Cumshot Aesthetics",
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loras/WAN2.2/DR34ML4Y_I2V_14B_HIGH.metadata.json
ADDED
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@@ -0,0 +1,22 @@
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loras/WAN2.2/DR34ML4Y_I2V_14B_LOW.metadata.json
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loras/WAN2.2/NSFW-22-H-e8.metadata.json
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loras/WAN2.2/NSFW-22-L-e8.metadata.json
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loras/WAN2.2/Wan2.2 - I2V - Missionary Sex - HIGH 14B.metadata.json
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loras/WAN2.2/Wan2.2 - I2V - Missionary Sex - LOW 14B.metadata.json
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loras/WAN2.2/jfj-deepthroat-W22-I2V-HN.metadata.json
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loras/WAN2.2/jfj-deepthroat-W22-I2V-LN.metadata.json
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loras/WAN2.2/kiss you_V2_wan_comfy.metadata.json
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loras/WAN2.2/wan2.2-i2v-high-oral-insertion-v1.0.metadata.json
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loras/WAN2.2/wan2.2-i2v-high-sex-fov-slider-v1.0.metadata.json
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loras/WAN2.2/wan2.2-i2v-low-oral-insertion-v1.0.metadata.json
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loras/WAN2.2/wan2.2-i2v-low-sex-fov-slider-v1.0.metadata.json
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loras/WAN2.2/wan2.2_i2v_highnoise_pov_missionary_v1.0.metadata.json
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loras/WAN2.2/wan2.2_i2v_lownoise_pov_missionary_v1.0.metadata.json
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loras/WAN2.2/wan22-f4c3spl4sh-100epoc-high-k3nk.metadata.json
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loras/WAN2.2/wan22-f4c3spl4sh-154epoc-low-k3nk.metadata.json
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loras/WAN2.2/wan22-ultimatedeepthroat-I2V-101epoc-low-k3nk.metadata.json
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