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Model: DreamFast/qwen3-8b-heretic Source: Original Platform
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README.md
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---
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license: apache-2.0
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library_name: transformers
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pipeline_tag: text-generation
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base_model: Qwen/Qwen3-8B
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base_model_relation: finetune
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language:
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- en
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tags:
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- abliteration
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- heretic
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- uncensored
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- qwen3
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- qwen
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- klein
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- klein-9b
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- image-generation
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- text-encoder
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- comfyui
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- nvfp4
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- blackwell
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- conversational
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- text-generation-inference
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---
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# Qwen3 8B - Heretic (Abliterated)
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An abliterated version of [Qwen's Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) created using [Heretic](https://github.com/p-e-w/heretic) v1.2.0 (git master). This model has reduced refusals while maintaining model quality, making it suitable as an uncensored text encoder for image generation models like [Klein 9B](https://huggingface.co/black-forest-labs/Klein-9B).
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You can see the docker, scripts and configurations used to make these files on [Heretic Docker Github](https://github.com/dreamfast/heretic-docker).
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## Model Details
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- **Base Model:** Qwen/Qwen3-8B
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- **Abliteration Method:** [Heretic](https://github.com/p-e-w/heretic) v1.2.0 (git master, commit `19cdf7e`)
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- **Trials:** 3000
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- **Trial Selected:** Trial 2681
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- **Refusals:** 13/100 (vs 100/100 original)
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- **KL Divergence:** 0.0838 (minimal model damage)
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## Files
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### HuggingFace Format (for transformers, llama.cpp conversion)
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```
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model.safetensors (~16 GB)
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config.json
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tokenizer.json
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tokenizer_config.json
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generation_config.json
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chat_template.jinja
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```
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### ComfyUI Format (for Klein 9B text encoder)
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```
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comfyui/qwen3-8b-heretic.safetensors # bf16, 16GB
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comfyui/qwen3-8b-heretic_fp8_e4m3fn.safetensors # fp8, 8.8GB
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comfyui/qwen3-8b-heretic_nvfp4.safetensors # nvfp4, 6.0GB
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```
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### GGUF Format (for llama.cpp and ComfyUI-GGUF)
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| Quant | Size | Notes |
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|-------|------|-------|
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| F16 | 16GB | Lossless reference |
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| Q8_0 | 8.2GB | Excellent quality |
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| Q6_K | 6.3GB | Very good quality |
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| Q5_K_M | 5.5GB | Good quality |
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| Q5_K_S | 5.4GB | Slightly smaller Q5 |
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| **Q4_K_M** | **5.0GB** | **Recommended balance** |
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| Q4_K_S | 4.8GB | Smaller Q4 variant |
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| Q3_K_M | 3.9GB | For low VRAM only |
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### NVFP4 Notes
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The NVFP4 (4-bit floating point, E2M1) variants use ComfyUI's native quantization format. They are ~3x smaller than bf16 and load natively in ComfyUI without any plugins. Blackwell GPUs (RTX 5090/5080, SM100+) can use native FP4 tensor cores for best performance, but ComfyUI also supports software dequantization on older GPUs (tested working on RTX 4090).
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## Usage
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### With ComfyUI (Klein 9B)
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1. Download a ComfyUI format file:
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- **FP8** (recommended): `comfyui/qwen3-8b-heretic_fp8_e4m3fn.safetensors` (8.8GB)
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- **NVFP4** (smallest): `comfyui/qwen3-8b-heretic_nvfp4.safetensors` (6.0GB)
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- **bf16** (full precision): `comfyui/qwen3-8b-heretic.safetensors` (16GB)
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2. Place in `ComfyUI/models/text_encoders/`
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3. In your Klein 9B workflow, use the `ClipLoader` node and select the heretic file
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### With Transformers
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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model = AutoModelForCausalLM.from_pretrained(
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"DreamFast/qwen3-8b-heretic",
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device_map="auto",
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torch_dtype=torch.bfloat16,
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trust_remote_code=True
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)
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tokenizer = AutoTokenizer.from_pretrained("DreamFast/qwen3-8b-heretic")
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prompt = "Describe a dramatic sunset over a cyberpunk city"
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inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
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outputs = model.generate(**inputs, max_new_tokens=200)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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### With llama.cpp
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```bash
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llama-server -m qwen3-8b-heretic-Q4_K_M.gguf
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```
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## Abliteration Process
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Created using Heretic v1.2.0 (git master) with 3000 optimization trials:
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```
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? Which trial do you want to use?
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[Trial 2732] Refusals: 10/100, KL divergence: 0.1001
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> [Trial 2681] Refusals: 13/100, KL divergence: 0.0838 <-- selected
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[Trial 2337] Refusals: 18/100, KL divergence: 0.0643
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[Trial 2419] Refusals: 19/100, KL divergence: 0.0600
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[Trial 2195] Refusals: 21/100, KL divergence: 0.0534
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...
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```
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Trial 2681 was selected for its balance of low refusals (13/100) and reasonable KL divergence (0.0838), indicating minimal model damage while achieving 87% of previously-refused prompts now working.
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## Limitations
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- This model inherits all limitations of the base Qwen3-8B model
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- Abliteration reduces but does not completely eliminate refusals (13/100 remain)
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- NVFP4 quantization works best on Blackwell GPUs (RTX 5090/5080) with native FP4 tensor cores, but also works on older GPUs via software dequantization
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## License
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This model is released under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0), following the base Qwen3-8B model license.
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## Acknowledgments
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- [Qwen](https://huggingface.co/Qwen) for the Qwen3-8B model
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- [Heretic](https://github.com/p-e-w/heretic) by p-e-w for the abliteration tool
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- [Black Forest Labs](https://huggingface.co/black-forest-labs) for Klein 9B
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- [llama.cpp](https://github.com/ggerganov/llama.cpp) for GGUF conversion
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89
chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# 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>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\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" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- 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>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if message.content is string %}
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{%- set content = message.content %}
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{%- else %}
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{%- set content = '' %}
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{%- endif %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls %}
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||||
{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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||||
{%- if tool_call.function %}
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||||
{%- set tool_call = tool_call.function %}
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||||
{%- endif %}
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||||
{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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||||
{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
|
||||
{{- tool_call.arguments }}
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{%- else %}
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||||
{{- tool_call.arguments | tojson }}
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||||
{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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||||
{%- endif %}
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||||
{{- '<|im_end|>\n' }}
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||||
{%- elif message.role == "tool" %}
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||||
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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||||
{%- endif %}
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||||
{{- '\n<tool_response>\n' }}
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||||
{{- content }}
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||||
{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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||||
{%- endif %}
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||||
{%- endif %}
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||||
{%- endfor %}
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||||
{%- if add_generation_prompt %}
|
||||
{{- '<|im_start|>assistant\n' }}
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||||
{%- if enable_thinking is defined and enable_thinking is false %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- endif %}
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{%- endif %}
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3
comfyui/qwen3-8b-heretic.safetensors
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3
comfyui/qwen3-8b-heretic.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5c251bc35e7f7209ed352d05a4648282e8945e5b2bcc381889dc4dff0d1433ae
|
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size 16381517176
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3
comfyui/qwen3-8b-heretic_fp8_e4m3fn.safetensors
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3
comfyui/qwen3-8b-heretic_fp8_e4m3fn.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d20187543d078feafd950673b43de84e3ff77af7a72438ee0882e0daf5bf2925
|
||||
size 9435750168
|
||||
3
comfyui/qwen3-8b-heretic_nvfp4.safetensors
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3
comfyui/qwen3-8b-heretic_nvfp4.safetensors
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||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:81583cf46bf18063c5deefcc5571912a642bf8224c1c45c1ce3047ba750ebac6
|
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size 6397064940
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71
config.json
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config.json
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||||
{
|
||||
"architectures": [
|
||||
"Qwen3ForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 151643,
|
||||
"dtype": "bfloat16",
|
||||
"eos_token_id": 151645,
|
||||
"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 4096,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 12288,
|
||||
"layer_types": [
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention"
|
||||
],
|
||||
"max_position_embeddings": 40960,
|
||||
"max_window_layers": 36,
|
||||
"model_type": "qwen3",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 36,
|
||||
"num_key_value_heads": 8,
|
||||
"pad_token_id": null,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_parameters": {
|
||||
"rope_theta": 1000000,
|
||||
"rope_type": "default"
|
||||
},
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": false,
|
||||
"transformers_version": "5.3.0.dev0",
|
||||
"use_cache": true,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 151936
|
||||
}
|
||||
13
generation_config.json
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13
generation_config.json
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|
||||
{
|
||||
"bos_token_id": 151643,
|
||||
"do_sample": true,
|
||||
"eos_token_id": [
|
||||
151645,
|
||||
151643
|
||||
],
|
||||
"pad_token_id": 151643,
|
||||
"temperature": 0.6,
|
||||
"top_k": 20,
|
||||
"top_p": 0.95,
|
||||
"transformers_version": "5.3.0.dev0"
|
||||
}
|
||||
3
gguf/qwen3-8b-heretic-Q3_K_M.gguf
Normal file
3
gguf/qwen3-8b-heretic-Q3_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:acbb9f2cd815efd7bb8b1f68d6173bbb238c9fe82d3e9ff6a1683bf29216cb55
|
||||
size 4124160960
|
||||
3
gguf/qwen3-8b-heretic-Q4_K_M.gguf
Normal file
3
gguf/qwen3-8b-heretic-Q4_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:38af6f386a520611159c6041c58a01155ff92c2be943d231898967ba05167c5f
|
||||
size 5027783616
|
||||
3
gguf/qwen3-8b-heretic-Q4_K_S.gguf
Normal file
3
gguf/qwen3-8b-heretic-Q4_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:66bc0f475a0a0805dda151a4255ca9dc25ed9c79353766afa1ba4ec9df759374
|
||||
size 4802012096
|
||||
3
gguf/qwen3-8b-heretic-Q5_K_M.gguf
Normal file
3
gguf/qwen3-8b-heretic-Q5_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:23cf93cd54f9855d236f659895d0fb844702e67827f3df69c0713adac91381ab
|
||||
size 5851112384
|
||||
3
gguf/qwen3-8b-heretic-Q5_K_S.gguf
Normal file
3
gguf/qwen3-8b-heretic-Q5_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:c9235efc51457927649fc2eed9594ce017143e02b547cd94298aea789631747c
|
||||
size 5720761280
|
||||
3
gguf/qwen3-8b-heretic-Q6_K.gguf
Normal file
3
gguf/qwen3-8b-heretic-Q6_K.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:78082ed962bfdfa2ea8b0132b6441bc9a321a6c5a750fbb7717061d1bafe4251
|
||||
size 6725899200
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||||
3
gguf/qwen3-8b-heretic-Q8_0.gguf
Normal file
3
gguf/qwen3-8b-heretic-Q8_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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||||
oid sha256:fce581531eee3871a414e7c5d2270dcec5ab7d363e70a8c7179c45c0484601d7
|
||||
size 8709518272
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||||
3
gguf/qwen3-8b-heretic-f16.gguf
Normal file
3
gguf/qwen3-8b-heretic-f16.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:35d5726fe5d32f553cdb49e9225b183013f87970117e1203813e187c5dc6cddc
|
||||
size 16388043712
|
||||
3
model.safetensors
Normal file
3
model.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:824282db8a56ee2e55ca7571fd116eafc7e84aadc887b40c26d8e2c6b4a6a159
|
||||
size 16381517208
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:79cb3c783570f1b8fe73b9ed530ae50cae9ce4b6344c0b5edefc50478847eaa4
|
||||
size 11422817
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||||
29
tokenizer_config.json
Normal file
29
tokenizer_config.json
Normal file
@@ -0,0 +1,29 @@
|
||||
{
|
||||
"add_prefix_space": false,
|
||||
"backend": "tokenizers",
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"is_local": false,
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
Reference in New Issue
Block a user