metadata
license: apache-2.0
base_model:
- prithivMLmods/Magpie-Qwen-CortexDual-0.6B
library_name: transformers
language:
- en
pipeline_tag: text-generation
tags:
- text-generation-inference
- math
- code
Magpie-Qwen-CortexDual-0.6B-GGUF
Magpie-Qwen-CortexDual-0.6B is a specialized, general-purpose model designed for math, code, and structured reasoning. Built with CortexDual thinking mode, it dynamically adapts to the complexity of a problem, automatically shifting into a stepwise reasoning mode for intricate logic or math tasks. This 0.6B parameter model leverages 80% of the Magpie Pro 330k dataset and a modular blend of datasets for general-purpose proficiency and domain versatility.
ModelFile
| File Name | Size | Source |
|---|---|---|
| Magpie-Qwen-0.6B.BF16.gguf | 1.2 GB | xet |
| Magpie-Qwen-0.6B.F16.gguf | 1.2 GB | xet |
| Magpie-Qwen-0.6B.F32.gguf | 2.39 GB | xet |
| Magpie-Qwen-0.6B.Q4_K_M.gguf | 397 MB | xet |
| Magpie-Qwen-0.6B.Q5_K_M.gguf | 444 MB | xet |
| Magpie-Qwen-0.6B.Q8_0.gguf | 639 MB | xet |
| .gitattributes | 1.97 kB | - |
| README.md | 723 Bytes | - |
| config.json | 31 Bytes | - |
Quants Usage
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|---|---|---|---|
| GGUF | Q2_K | 0.4 | |
| GGUF | Q3_K_S | 0.5 | |
| GGUF | Q3_K_M | 0.5 | lower quality |
| GGUF | Q3_K_L | 0.5 | |
| GGUF | IQ4_XS | 0.6 | |
| GGUF | Q4_K_S | 0.6 | fast, recommended |
| GGUF | Q4_K_M | 0.6 | fast, recommended |
| GGUF | Q5_K_S | 0.6 | |
| GGUF | Q5_K_M | 0.7 | |
| GGUF | Q6_K | 0.7 | very good quality |
| GGUF | Q8_0 | 0.9 | fast, best quality |
| GGUF | f16 | 1.6 | 16 bpw, overkill |
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
