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kirilldual0987/Newton-bot-3-VLM-mini-4B-GGUF overview

Newton bot 3 VLM mini 4B GGUF Full set of GGUF quantizations for Kolyadual/Newton bot 3 VLM mini 4B https://huggingface.co/Kolyadual/Newton bot 3 VLM mini 4B ,…

ggufqwen3.5vlmmamballama.cppbase_model:Kolyadual/Newton-bot-3-VLM-mini-4Bbase_model:quantized:Kolyadual/Newton-bot-3-VLM-mini-4Blicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~641.3 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Repository Files & Downloads

16 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
mmproj-f16.ggufGGUFF16641.3 MBDownload
newton-f16.ggufGGUFF168.07 GBDownload
newton-q2_k.ggufGGUFQ2_K1.82 GBDownload
newton-q3_k_l.ggufGGUFQ3_K_L2.31 GBDownload
newton-q3_k_m.ggufGGUFQ3_K_M2.16 GBDownload
newton-q3_k_s.ggufGGUFQ3_K_S1.98 GBDownload
newton-q4_0.ggufGGUFQ4_02.43 GBDownload
newton-q4_1.ggufGGUFQ4_12.65 GBDownload
newton-q4_k_m.ggufGGUFQ4_K_M2.59 GBDownload
newton-q4_k_s.ggufGGUFQ4_K_S2.45 GBDownload
newton-q5_0.ggufGGUFQ5_02.86 GBDownload
newton-q5_1.ggufGGUFQ5_13.08 GBDownload
newton-q5_k_m.ggufGGUFQ5_K_M2.94 GBDownload
newton-q5_k_s.ggufGGUFQ5_K_S2.86 GBDownload
newton-q6_k.ggufGGUFQ6_K3.32 GBDownload
newton-q8_0.ggufGGUFQ8_04.29 GBDownload

Model Details

Model IDkirilldual0987/Newton-bot-3-VLM-mini-4B-GGUF
Authorkirilldual0987
Pipeline
Licenseapache-2.0
Base modelKolyadual/Newton-bot-3-VLM-mini-4B
Last modified2026-07-04T18:01:06.000Z

Model README

---

license: apache-2.0

base_model: Kolyadual/Newton-bot-3-VLM-mini-4B

tags:

  • gguf
  • qwen3.5
  • vlm
  • mamba
  • llama.cpp

---

Newton-bot-3-VLM-mini-4B-GGUF

Full set of GGUF quantizations for Kolyadual/Newton-bot-3-VLM-mini-4B, based on the hybrid Qwen 3.5 architecture (Mamba + Attention).

⚠️ Vision / VLM Usage

This is a multimodal model. To process images, you must use the unquantized visual projector (mmproj-f16.gguf) alongside the quantized text models.

When using llama.cpp (via llama-server, llama-cli, or LM Studio), pass the F16 projector using the --mmproj flag.

Files

| File | Quantization | Type | Approx. Size |

|---|---|---|---|

| mmproj-f16.gguf | F16 | Visual Projector | 641 MB |

| newton-q2_k.gguf | Q2_K | Text Model | 1.8 GB |

| newton-q3_k_s.gguf | Q3_K_S | Text Model | 2.0 GB |

| newton-q3_k_m.gguf | Q3_K_M | Text Model | 2.2 GB |

| newton-q3_k_l.gguf | Q3_K_L | Text Model | 2.3 GB |

| newton-q4_0.gguf | Q4_0 | Text Model | 2.4 GB |

| newton-q4_1.gguf | Q4_1 | Text Model | 2.6 GB |

| newton-q4_k_s.gguf | Q4_K_S | Text Model | 2.5 GB |

| newton-q4_k_m.gguf | Q4_K_M | Text Model | 2.6 GB |

| newton-q5_0.gguf | Q5_0 | Text Model | 2.9 GB |

| newton-q5_1.gguf | Q5_1 | Text Model | 3.1 GB |

| newton-q5_k_s.gguf | Q5_K_S | Text Model | 2.9 GB |

| newton-q5_k_m.gguf | Q5_K_M | Text Model | 2.9 GB |

| newton-q6_k.gguf | Q6_K | Text Model | 3.3 GB |

| newton-q8_0.gguf | Q8_0 | Text Model | 4.3 GB |

| newton-f16.gguf | F16 | Text Model | 8.1 GB |

How to run locally

Example using llama-server:

llama-server \
  -m newton-q4_k_m.gguf \
  --mmproj mmproj-f16.gguf \
  -ngl 999 \
  --host 0.0.0.0 --port 8080

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