Quantization made by Richard Erkhov.

[Github](https://github.com/RichardErkhov)

[Discord](https://discord.gg/pvy7H8DZMG)

[Request more models](https://github.com/RichardErkhov/quant_request)


Replete-Qwen-2.5-3b-CoT-RP - GGUF
- Model creator: https://huggingface.co/bunnycore/
- Original model: https://huggingface.co/bunnycore/Replete-Qwen-2.5-3b-CoT-RP/


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [Replete-Qwen-2.5-3b-CoT-RP.Q2_K.gguf](https://huggingface.co/RichardErkhov/bunnycore_-_Replete-Qwen-2.5-3b-CoT-RP-gguf/blob/main/Replete-Qwen-2.5-3b-CoT-RP.Q2_K.gguf) | Q2_K | 1.28GB |
| [Replete-Qwen-2.5-3b-CoT-RP.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/bunnycore_-_Replete-Qwen-2.5-3b-CoT-RP-gguf/blob/main/Replete-Qwen-2.5-3b-CoT-RP.IQ3_XS.gguf) | IQ3_XS | 1.42GB |
| [Replete-Qwen-2.5-3b-CoT-RP.IQ3_S.gguf](https://huggingface.co/RichardErkhov/bunnycore_-_Replete-Qwen-2.5-3b-CoT-RP-gguf/blob/main/Replete-Qwen-2.5-3b-CoT-RP.IQ3_S.gguf) | IQ3_S | 1.48GB |
| [Replete-Qwen-2.5-3b-CoT-RP.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/bunnycore_-_Replete-Qwen-2.5-3b-CoT-RP-gguf/blob/main/Replete-Qwen-2.5-3b-CoT-RP.Q3_K_S.gguf) | Q3_K_S | 1.48GB |
| [Replete-Qwen-2.5-3b-CoT-RP.IQ3_M.gguf](https://huggingface.co/RichardErkhov/bunnycore_-_Replete-Qwen-2.5-3b-CoT-RP-gguf/blob/main/Replete-Qwen-2.5-3b-CoT-RP.IQ3_M.gguf) | IQ3_M | 1.51GB |
| [Replete-Qwen-2.5-3b-CoT-RP.Q3_K.gguf](https://huggingface.co/RichardErkhov/bunnycore_-_Replete-Qwen-2.5-3b-CoT-RP-gguf/blob/main/Replete-Qwen-2.5-3b-CoT-RP.Q3_K.gguf) | Q3_K | 1.61GB |
| [Replete-Qwen-2.5-3b-CoT-RP.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/bunnycore_-_Replete-Qwen-2.5-3b-CoT-RP-gguf/blob/main/Replete-Qwen-2.5-3b-CoT-RP.Q3_K_M.gguf) | Q3_K_M | 1.61GB |
| [Replete-Qwen-2.5-3b-CoT-RP.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/bunnycore_-_Replete-Qwen-2.5-3b-CoT-RP-gguf/blob/main/Replete-Qwen-2.5-3b-CoT-RP.Q3_K_L.gguf) | Q3_K_L | 1.71GB |
| [Replete-Qwen-2.5-3b-CoT-RP.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/bunnycore_-_Replete-Qwen-2.5-3b-CoT-RP-gguf/blob/main/Replete-Qwen-2.5-3b-CoT-RP.IQ4_XS.gguf) | IQ4_XS | 1.79GB |
| [Replete-Qwen-2.5-3b-CoT-RP.Q4_0.gguf](https://huggingface.co/RichardErkhov/bunnycore_-_Replete-Qwen-2.5-3b-CoT-RP-gguf/blob/main/Replete-Qwen-2.5-3b-CoT-RP.Q4_0.gguf) | Q4_0 | 1.86GB |
| [Replete-Qwen-2.5-3b-CoT-RP.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/bunnycore_-_Replete-Qwen-2.5-3b-CoT-RP-gguf/blob/main/Replete-Qwen-2.5-3b-CoT-RP.IQ4_NL.gguf) | IQ4_NL | 1.87GB |
| [Replete-Qwen-2.5-3b-CoT-RP.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/bunnycore_-_Replete-Qwen-2.5-3b-CoT-RP-gguf/blob/main/Replete-Qwen-2.5-3b-CoT-RP.Q4_K_S.gguf) | Q4_K_S | 1.87GB |
| [Replete-Qwen-2.5-3b-CoT-RP.Q4_K.gguf](https://huggingface.co/RichardErkhov/bunnycore_-_Replete-Qwen-2.5-3b-CoT-RP-gguf/blob/main/Replete-Qwen-2.5-3b-CoT-RP.Q4_K.gguf) | Q4_K | 1.96GB |
| [Replete-Qwen-2.5-3b-CoT-RP.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/bunnycore_-_Replete-Qwen-2.5-3b-CoT-RP-gguf/blob/main/Replete-Qwen-2.5-3b-CoT-RP.Q4_K_M.gguf) | Q4_K_M | 1.96GB |
| [Replete-Qwen-2.5-3b-CoT-RP.Q4_1.gguf](https://huggingface.co/RichardErkhov/bunnycore_-_Replete-Qwen-2.5-3b-CoT-RP-gguf/blob/main/Replete-Qwen-2.5-3b-CoT-RP.Q4_1.gguf) | Q4_1 | 2.04GB |
| [Replete-Qwen-2.5-3b-CoT-RP.Q5_0.gguf](https://huggingface.co/RichardErkhov/bunnycore_-_Replete-Qwen-2.5-3b-CoT-RP-gguf/blob/main/Replete-Qwen-2.5-3b-CoT-RP.Q5_0.gguf) | Q5_0 | 2.22GB |
| [Replete-Qwen-2.5-3b-CoT-RP.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/bunnycore_-_Replete-Qwen-2.5-3b-CoT-RP-gguf/blob/main/Replete-Qwen-2.5-3b-CoT-RP.Q5_K_S.gguf) | Q5_K_S | 2.22GB |
| [Replete-Qwen-2.5-3b-CoT-RP.Q5_K.gguf](https://huggingface.co/RichardErkhov/bunnycore_-_Replete-Qwen-2.5-3b-CoT-RP-gguf/blob/main/Replete-Qwen-2.5-3b-CoT-RP.Q5_K.gguf) | Q5_K | 2.27GB |
| [Replete-Qwen-2.5-3b-CoT-RP.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/bunnycore_-_Replete-Qwen-2.5-3b-CoT-RP-gguf/blob/main/Replete-Qwen-2.5-3b-CoT-RP.Q5_K_M.gguf) | Q5_K_M | 2.27GB |
| [Replete-Qwen-2.5-3b-CoT-RP.Q5_1.gguf](https://huggingface.co/RichardErkhov/bunnycore_-_Replete-Qwen-2.5-3b-CoT-RP-gguf/blob/main/Replete-Qwen-2.5-3b-CoT-RP.Q5_1.gguf) | Q5_1 | 2.4GB |
| [Replete-Qwen-2.5-3b-CoT-RP.Q6_K.gguf](https://huggingface.co/RichardErkhov/bunnycore_-_Replete-Qwen-2.5-3b-CoT-RP-gguf/blob/main/Replete-Qwen-2.5-3b-CoT-RP.Q6_K.gguf) | Q6_K | 2.6GB |
| [Replete-Qwen-2.5-3b-CoT-RP.Q8_0.gguf](https://huggingface.co/RichardErkhov/bunnycore_-_Replete-Qwen-2.5-3b-CoT-RP-gguf/blob/main/Replete-Qwen-2.5-3b-CoT-RP.Q8_0.gguf) | Q8_0 | 3.37GB |




Original model description:
---
base_model:
- bunnycore/Qwen-2.5-3b-RP
- Replete-AI/Replete-LLM-V2.5-Qwen-3b
- bunnycore/Qwen-2.5-3b-rp-mix-lora
- bunnycore/Qwen-2.5-3b-RP
- bunnycore/Qwen-2.5-3b-rp-mix-lora
library_name: transformers
tags:
- mergekit
- merge

---
# merge

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details
### Merge Method

This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [bunnycore/Qwen-2.5-3b-RP](https://huggingface.co/bunnycore/Qwen-2.5-3b-RP) as a base.

### Models Merged

The following models were included in the merge:
* [Replete-AI/Replete-LLM-V2.5-Qwen-3b](https://huggingface.co/Replete-AI/Replete-LLM-V2.5-Qwen-3b) + [bunnycore/Qwen-2.5-3b-rp-mix-lora](https://huggingface.co/bunnycore/Qwen-2.5-3b-rp-mix-lora)
* [bunnycore/Qwen-2.5-3b-RP](https://huggingface.co/bunnycore/Qwen-2.5-3b-RP) + [bunnycore/Qwen-2.5-3b-rp-mix-lora](https://huggingface.co/bunnycore/Qwen-2.5-3b-rp-mix-lora)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: bunnycore/Qwen-2.5-3b-RP+bunnycore/Qwen-2.5-3b-rp-mix-lora
    parameters:
      density: 0.5
      weight: 0.5
  - model: Replete-AI/Replete-LLM-V2.5-Qwen-3b+bunnycore/Qwen-2.5-3b-rp-mix-lora
    parameters:
      density: 0.5
      weight: 0.5

merge_method: dare_ties
base_model: bunnycore/Qwen-2.5-3b-RP
parameters:
  normalize: false
  int8_mask: true
dtype: float16

```



Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more quants, at much higher speed, than I would otherwise be able to.