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WhiskyAKM/G9v3-3B-NVFP4-GGUF overview

G9v3 3B NVFP4 GGUF NVFP4 4 bit floating point quantized version of ai9stars/G9v3 3B https://huggingface.co/ai9stars/G9v3 3B , a compact 3B parameter Llama arch…

llama-cppggufg9v3llamatext-generationnvfp4quantizedconversationalbase_model:ai9stars/G9v3-3Bbase_model:quantized:ai9stars/G9v3-3Blicense:apache-2.0endpoints_compatibleregion:us

Runs locally from ~1.64 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Model Details

Model IDWhiskyAKM/G9v3-3B-NVFP4-GGUF
AuthorWhiskyAKM
Pipelinetext-generation
Licenseapache-2.0
Base modelai9stars/G9v3-3B
Last modified2026-08-01T20:55:03.000Z

Model README

---

pipeline_tag: text-generation

base_model:

  • ai9stars/G9v3-3B

license: apache-2.0

license_name: apache-license-2.0

library_name: llama-cpp

tags:

  • g9v3
  • llama
  • text-generation
  • gguf
  • nvfp4
  • quantized

languages:

  • en
  • zh

---

G9v3-3B NVFP4 GGUF

NVFP4 (4-bit floating-point) quantized version of ai9stars/G9v3-3B, a compact 3B-parameter Llama-architecture language model supporting English and Chinese, with a 128K context window, tool-calling, and a built-in thinking/reasoning mode.

Model Overview

G9v3-3B is a lightweight text-generation model built on the Llama architecture. Despite its small size (~3B parameters), it supports a 131,072-token context window (128K) thanks to a high RoPE θ of 5,000,000. The model uses Grouped-Query Attention (GQA) with 2 key-value heads across 16 attention heads for efficient inference, and includes special tokens for thinking/reasoning (<|thought_begin|> / <|thought_end|>, /think, /no_think) and tool calling (<function>, <|tool_call|>, etc.).

The model uses a ChatML-style conversation format with <|im_start|> / <|im_end|> delimiters.

Model Architecture

| Property | Value |

| :----------------------- | :--------- |

| Architecture | Llama |

| Parameters | ~3B |

| Hidden Size | 2048 |

| Intermediate Size | 6144 |

| Layers | 52 |

| Attention Heads | 16 |

| KV Heads | 2 (GQA) |

| Head Dimension | 128 |

| Context Length | 131,072 |

| Vocabulary Size | 130,560 |

| RoPE Theta | 5,000,000 |

| Original Precision | bfloat16 |

| Supported Languages | en, zh |

Quantization

This model is quantized with NVFP4 (NVIDIA 4-bit floating point). NVFP4 is NVIDIA's 4-bit floating-point format that preserves a wider dynamic range than integer 4-bit formats (such as Q4_K), offering better accuracy while remaining highly memory-efficient.

| File | Quantization | Size | Precision |

| :------------------------- | :----------- | :---- | :-------------- |

| g9v3-3b-nvfp4.gguf | NVFP4 | 1.7 GB | 4-bit float |

Usage

llama.cpp CLI

./llama-cli \
  -m g9v3-3b-nvfp4.gguf \
  -p "Explain quantum computing in simple terms." \
  --temp 0.9 --top-p 0.95

llama-server (OpenAI-compatible API)

./llama-server \
  -m g9v3-3b-nvfp4.gguf \
  --host 0.0.0.0 --port 8080

Thinking Mode

The model supports a thinking/reasoning mode controlled via special tokens. Use /think to enable extended reasoning or /no_think to disable it. When thinking is enabled, the model outputs its reasoning between <|thought_begin|> and <|thought_end|> tokens before providing the final answer.

Tool Calling

The model supports function/tool calling via XML-style <function> tags. Tool definitions are injected into the system prompt, and the model responds with <function name="..."> blocks containing <param> elements.

Generation Parameters

Recommended parameters from the original model's generation_config.json:

| Parameter | Value |

| :------------ | :---- |

| Temperature | 0.9 |

| Top-P | 0.95 |

| BOS Token ID | 0 |

| EOS Token IDs | 1, 130073 |

| Pad Token ID | 1 |

Acknowledgements

License

Apache License 2.0

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