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license: apache-2.0
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---
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license: apache-2.0
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language:
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- en
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base_model:
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- POLARIS-Project/Polaris-1.7B-Preview
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- text-generation-inference
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---
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# **Polaris-1.7B-Preview-f32-GGUF**
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> Polaris is an open-source post-training method that uses reinforcement learning (RL) scaling to refine and enhance models with advanced reasoning abilities. Our research shows that even top-tier models like Qwen3-4B can achieve significant improvements on challenging reasoning tasks when optimized with Polaris. By leveraging open-source data and academic-level resources, Polaris pushes the capabilities of open-recipe reasoning models to unprecedented heights.
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## Model Files
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| File Name | Quant Type | Size |
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|-----------|------------|------|
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| Polaris-1.7B-Preview.BF16.gguf | BF16 | 3.45 GB |
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| Polaris-1.7B-Preview.F16.gguf | F16 | 3.45 GB |
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| Polaris-1.7B-Preview.F32.gguf | F32 | 6.89 GB |
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| Polaris-1.7B-Preview.Q2_K.gguf | Q2_K | 778 MB |
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| Polaris-1.7B-Preview.Q3_K_L.gguf | Q3_K_L | 1 GB |
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| Polaris-1.7B-Preview.Q3_K_M.gguf | Q3_K_M | 940 MB |
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| Polaris-1.7B-Preview.Q3_K_S.gguf | Q3_K_S | 867 MB |
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| Polaris-1.7B-Preview.Q4_K_M.gguf | Q4_K_M | 1.11 GB |
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| Polaris-1.7B-Preview.Q4_K_S.gguf | Q4_K_S | 1.06 GB |
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| Polaris-1.7B-Preview.Q5_K_M.gguf | Q5_K_M | 1.26 GB |
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| Polaris-1.7B-Preview.Q5_K_S.gguf | Q5_K_S | 1.23 GB |
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| Polaris-1.7B-Preview.Q6_K.gguf | Q6_K | 1.42 GB |
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| Polaris-1.7B-Preview.Q8_0.gguf | Q8_0 | 1.83 GB |
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## Quants Usage
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(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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types (lower is better):
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