README.md

---
library_name: transformers
tags:
- generated_from_trainer
- llama-cpp
- gguf-my-repo
license: apache-2.0
language:
- en
base_model: EVA-UNIT-01/EVA-Qwen2.5-1.5B-v0.0
datasets:
- anthracite-org/kalo-opus-instruct-22k-no-refusal
- Nopm/Opus_WritingStruct
- Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
- Gryphe/Sonnet3.5-Charcard-Roleplay
- Gryphe/ChatGPT-4o-Writing-Prompts
- Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
- Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
- nothingiisreal/Reddit-Dirty-And-WritingPrompts
- allura-org/Celeste-1.x-data-mixture
- cognitivecomputations/dolphin-2.9.3
model-index:
- name: EVA-Qwen2.5-1.5B-FFT-v0.0
  results: []
---
#          TEST! VERY FAST for CPU/EDGE work in progress, so far good for editing and responces with reasoing and common clarity
# fuzzy-mittenz/Eva-E_Swarmth-Q2.5-1.5B-v0.0-Q5_K_S-GGUF

![eva-e.png](https://cdn-uploads.huggingface.co/production/uploads/6593502ca2607099284523db/cSx1q0YB16iu_kHUz8Cy0.png)

This model was converted to GGUF format from [`EVA-UNIT-01/EVA-Qwen2.5-1.5B-v0.0`](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-1.5B-v0.0) using llama.cpp 
Refer to the [original model card](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-1.5B-v0.0) for more details on the model.

## 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.