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prithivMLmods/Nexus-9B-CodeCore-Merge-GGUF
Nexus-9B-CodeCore-Merge-GGUF is a text generation model from prithivMLmods. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
Nexus-9B-CodeCore-Merge is a merged 9B-parameter coding and reasoning model designed for long-horizon coding tasks, agentic coding, and agentic reasoning. It is built by merging Qwen3.5-9B as the base model with NeoHo…
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.gguf58.6 GB · 100%
From the Hugging Face model README
Nexus-9B-CodeCore-Merge is a merged 9B-parameter coding and reasoning model designed for long-horizon coding tasks, agentic coding, and agentic reasoning. It is built by merging Qwen3.5-9B as the base model with NeoHorse-1-9B, OmniCoder-9B, and Ornith-1.5-9B, combining their capabilities for code generation, multi-step problem solving, instruction following, and autonomous coding workflows. The model is intended for complex software-engineering tasks that require sustained reasoning across multiple steps, code understanding, modification, debugging, and tool-oriented agentic workflows. This model is experimental and may generate artifacts.
| File Name | Quant Type | File Size | File Link | Description |
|---|---|---|---|---|
| Nexus-9B-CodeCore-Merge.BF16.gguf | BF16 | 17.9 GB | Link | Full BF16 weights. Highest quality, largest file size. |
| Nexus-9B-CodeCore-Merge.Q3_K_L.gguf | Q3_K_L | 4.93 GB | Link | Lower quality but usable, good for low RAM availability. |
| Nexus-9B-CodeCore-Merge.Q3_K_M.gguf | Q3_K_M | 4.62 GB | Link | Low quality. |
| Nexus-9B-CodeCore-Merge.Q4_K_M.gguf | Q4_K_M | 5.63 GB | Link | Good quality, default size for most use cases, recommended. |
| Nexus-9B-CodeCore-Merge.Q4_K_S.gguf | Q4_K_S | 5.35 GB | Link | Slightly lower quality with more space savings, recommended. |
| Nexus-9B-CodeCore-Merge.Q5_K_M.gguf | Q5_K_M | 6.47 GB | Link | High quality, recommended. |
| Nexus-9B-CodeCore-Merge.Q5_K_S.gguf | Q5_K_S | 6.31 GB | Link | High quality, recommended. |
| Nexus-9B-CodeCore-Merge.Q6_K.gguf | Q6_K | 7.36 GB | Link | Very high quality, near perfect, recommended. |
LLM inference in C/C++ — https://github.com/ggml-org/llama.cpp