This is FBL's [una-cybertron-7b-v2](https://huggingface.co/fblgit/una-cybertron-7b-v2-bf16), converted to GGUF. No other changes were made.

Two files are avaliable here:
- una-cybertron-7b-v2-**fp16**.gguf: the original model converted to GGUF without quantization
- una-cybertron-7b-v2-**q8_0-LOT**.gguf: the original model converted to GGUF with q8_0 quantization using the `--leave-output-tensor` command-line option

From llama.cpp/quantize --help:
```
--leave-output-tensor: Will leave output.weight un(re)quantized. Increases model size but may also increase quality, especially when requantizing
```

The model was converted using `convert.py` from Georgi Gerganov's llama.cpp repo, release `b1620`.

All credit belongs to [FBL](https://huggingface.co/fblgit) for fine-tuning and releasing this model. Thank you!
{"license": "apache-2.0", "pipeline_tag": "text-generation"}
gguf text-generation license:apache-2.0 region:us