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---
license: apache-2.0
base_model: SubtleOne/Rombos-Qwen2.5-Writer-32b
library_name: transformers
tags:
- merge
- mergekit
- llama-cpp
- gguf-my-repo
---
# Triangle104/Rombos-Qwen2.5-Writer-32b-Q3_K_L-GGUF
This model was converted to GGUF format from [`SubtleOne/Rombos-Qwen2.5-Writer-32b`](https://huggingface.co./SubtleOne/Rombos-Qwen2.5-Writer-32b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co./spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co./SubtleOne/Rombos-Qwen2.5-Writer-32b) for more details on the model.
---
Model details:
-
This model is a merge using Rombos's top-ranked 32b model, based on
Qwen 2.5, and merging three creative writing finetunes. The creative
content is a serious upgrade over the base it started with, and I
enjoyed it in my DnD RPG campaign.
Merge
This is a merge of pre-trained language models created using mergekit.
Merge Method
This model was merged using the DELLA merge method using Rombos-LLM-V2.5-Qwen-32b as a base.
Models Merged
The following models were included in the merge:
EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
allura-org/Qwen2.5-32b-RP-Ink
nbeerbower/Qwen2.5-Gutenberg-Doppel-32B
Configuration
The following YAML configuration was used to produce this model:
base_model: rombodawg/Rombos-LLM-V2.5-Qwen-32b
parameters:
int8_mask: true
rescale: false
normalize: true
dtype: bfloat16
tokenizer_source: union
merge_method: dare_ties
models:
- model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
parameters:
weight: [0.4]
density: [0.55]
- model: nbeerbower/Qwen2.5-Gutenberg-Doppel-32B
parameters:
weight: [0.3]
density: [0.55]
- model: allura-org/Qwen2.5-32b-RP-Ink
parameters:
weight: [0.4]
density: [0.55]
---
## Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)
```bash
brew install llama.cpp
```
Invoke the llama.cpp server or the CLI.
### CLI:
```bash
llama-cli --hf-repo Triangle104/Rombos-Qwen2.5-Writer-32b-Q3_K_L-GGUF --hf-file rombos-qwen2.5-writer-32b-q3_k_l.gguf -p "The meaning to life and the universe is"
```
### Server:
```bash
llama-server --hf-repo Triangle104/Rombos-Qwen2.5-Writer-32b-Q3_K_L-GGUF --hf-file rombos-qwen2.5-writer-32b-q3_k_l.gguf -c 2048
```
Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
Step 1: Clone llama.cpp from GitHub.
```
git clone https://github.com/ggerganov/llama.cpp
```
Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
```
cd llama.cpp && LLAMA_CURL=1 make
```
Step 3: Run inference through the main binary.
```
./llama-cli --hf-repo Triangle104/Rombos-Qwen2.5-Writer-32b-Q3_K_L-GGUF --hf-file rombos-qwen2.5-writer-32b-q3_k_l.gguf -p "The meaning to life and the universe is"
```
or
```
./llama-server --hf-repo Triangle104/Rombos-Qwen2.5-Writer-32b-Q3_K_L-GGUF --hf-file rombos-qwen2.5-writer-32b-q3_k_l.gguf -c 2048
```
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