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huihui-glm-4.6v-flash-abliterated
**Huihui-GLM-4.6V-Flash (Abliterated)**
A text-based large language model derived from the **zai-org/GLM-4.6V-Flash** base model, featuring reduced safety filters and uncensored capabilities. Designed for text generation, it supports conversational tasks but excludes image processing.
**Key Features:**
- **Base Model**: GLM-4.6V-Flash (original author: zai-org)
- **Quantized Format**: GGUF (optimized for efficiency).
- **No Image Support**: Only text-based interactions are enabled.
- **Custom Training**: Abliterated to remove restrictive outputs, prioritizing openness over safety.
**Important Notes:**
- **Risk of Sensitive Content**: Reduced filtering may generate inappropriate or controversial outputs.
- **Ethical Use**: Suitable for research or controlled environments; not recommended for public or commercial deployment without caution.
- **Legal Responsibility**: Users must ensure compliance with local laws and ethical guidelines.
**Use Cases:**
- Experimental text generation.
- Controlled research environments.
- Testing safety filtering mechanisms.
*Note: This model is not suitable for production or public-facing applications without thorough review.*
Repository: localai
glm-4.5v-i1
The model in question is a **quantized version** of the **GLM-4.5V** large language model, originally developed by **zai-org**. This repository provides multiple quantized variants of the model, optimized for different trade-offs between size, speed, and quality. The base model, **GLM-4.5V**, is a multilingual (Chinese/English) large language model, and this quantized version is designed for efficient inference on hardware with limited memory.
Key features include:
- **Quantization options**: IQ2_M, Q2_K, Q4_K_M, IQ3_M, IQ4_XS, etc., with sizes ranging from 43 GB to 96 GB.
- **Performance**: Optimized for inference, with some variants (e.g., Q4_K_M) balancing speed and quality.
- **Vision support**: The model is a vision model, with mmproj files available in the static repository.
- **License**: MIT-licensed.
This quantized version is ideal for applications requiring compact, efficient models while retaining most of the original capabilities of the base GLM-4.5V.
Repository: localaiLicense: mit