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VertexResearch/Vertex-0.6-35M-Base-GGUF
Vertex-0.6-35M-Base-GGUF is a text generation model from VertexResearch. Use it when you need the model to write or continue text. It is set up for llama.cpp. The card lists the license as apache-2.0.
GGUF quantizations of VertexResearch/Vertex-0.6-35M-Base, a ≈34M-parameter Qwen3-architecture base model. Works out of the box in LM Studio, llama.cpp, and Ollama (Qwen3 is natively supported).
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From the Hugging Face model README
GGUF quantizations of VertexResearch/Vertex-0.6-35M-Base, a ≈34M-parameter Qwen3-architecture base model. Works out of the box in LM Studio, llama.cpp, and Ollama (Qwen3 is natively supported).
This is a raw base model — it continues text and has no chat template. For chatting, use the instruct variant: VertexResearch/Vertex-0.6-35M-Instruct.
| Quant | Size | Notes |
|---|---|---|
| BF16 | 69 MB | Full precision |
| Q8_0 | 37 MB | Recommended — at this model size there is little reason to go lower |
| Q5_K_M | 31 MB | |
| Q5_K_S | 30 MB | |
| Q4_K_M | 29 MB | |
| Q4_K_S | 28 MB | |
| Q4_1 | 28 MB | Legacy |
| Q4_0 | 26 MB | Legacy |
| Q3_K_M | 27 MB | Quality loss noticeable on a model this small |
| Q3_K_S | 26 MB | Quality loss noticeable on a model this small |
| Q2_K | 26 MB | Not recommended at 34M params |
Note: the model's hidden size (384) is not a multiple of 256, so k-quants fall back to legacy formats for some tensors — the sub-Q4 files save less space than usual and Q8_0 remains the best pick.
llama-completion -m Vertex-0.6-35M-Base-Q8_0.gguf -p "Your prompt" -n 100ollama run hf.co/VertexResearch/Vertex-0.6-35M-Base-GGUF:Q8_0These models are not the most coherent yet and need more tuning: expect rambling, repetition, and inconsistent answers, especially over longer generations.