Gemma 4 E2B It Ultra Uncensored Heretic MLX 5bit Int5 Affine
This model was converted to MLX from llmfan46/gemma-4-E2B-it-ultra-uncensored-heretic using mlx-vlm version 0.6.3. Please refer to the original model card for more details.
Fuente del modelo
- Tipo
- Text model
- Tamaño del archivo
- 4,12 GB
- Modelo base
- llmfan46/gemma-4-E2B-it-ultra-uncensored-heretic
- Versión
- vmodel
- Actualizado
- 25 sept 2026
- Descargas
- 46
- Fuente
- Hugging Face
Extracto de la fuente
This model was converted to MLX from llmfan46/gemma-4-E2B-it-ultra-uncensored-heretic using mlx-vlm version 0.6.3. Please refer to the original model card for more details.
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 17 ago
Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactoExtractos de fuentes
2 extractos
Extractos de fuentes
2 extractos--- license: apache-2.0 license_link: https://ai.google.dev/gemma/docs/gemma_4_license pipeline_tag: any-to-any tags: - mlx - heretic - uncensored - decensored - abliterated - ara base_model: llmfan46/gemma-4-E2B-it-ultra-uncensored-heretic language: en library_name: mlx --- # 🦆 zecanard/gemma-4-E2B-it-ultra-uncensored-heretic-MLX-5bit-int5-affine [This model](https://huggingface.co/zecanard/gemma-4-E2B-it-ultra-uncensored-heretic-MLX-5bit-int5-affine) was converted to MLX from [`llmfan46/gemma-4-E2B-it-ultra-uncensored-heretic`](https://huggingface.co/llmfan46/gemma-4-E2B-it-ultra-uncensored-heretic) using `mlx-vlm` version **0.6.3**. Please refer to the [original model card](https://huggingface.co/llmfan46/gemma-4-E2B-it-ultra-uncensored-heretic) for more details. ## 🌟 Quality Quantized vision language model with an effective **6.969 bits per weight**. `mlx_vlm.convert --quantize --q-group-size 32 --q-bits 5 --q-mode affine` ## 🛠️ Customizations This quant includes a bugfix for tools calling. It is aware of the current date, and also enables thinking (if available). You may disable this behavior by deleting the following line from the chat template, or changing `true` to `false`: `{%- set enable_thinking = true %}` You may need to adjust your environment’s **Reasoning Section Parsing** to recognize `<|channel>thought` as the **Start String**, and `<channel|>` as the **End String**. ## 🖥️ Use with `mlx` ```bash pip install -U mlx-vlm ``` ```bash mlx_vlm.generate --model zecanard/gemma-4-E2B-it-ultra-uncensored-heretic-MLX-5bit-int5-affine --max-tokens 100 --temperature 0 --prompt "Describe this image." --image <path_to_image> ```
Source context: 46 downloads · 1 likes · Pipeline any-to-any · Library mlx · Repo zecanard/gemma-4-E2B-it-ultra-uncensored-heretic-MLX-5bit-int5-affine
