transformers safetensors llama text-generation conversational en dataset:ehartford/dolphin dataset:jondurbin/airoboros-2.2.1 dataset:ehartford/samantha-data dataset:ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
datasets:
- ehartford/dolphin
- jondurbin/airoboros-2.2.1
- ehartford/samantha-data
- ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split
language:
- en
license: apache-2.0
---
quant of [ehartford's](https://huggingface.co/ehartford) [dolphin-2.2-yi-34b-200k](https://huggingface.co/ehartford/dolphin-2.2-yi-34b-200k)

done with exllamav2 0.0.11 so should have lower loss than earlier quants

```
python3 convert.py \
    -i /input/ehartford_dolphin-2.2-yi-34b-200k/ \
    -c /input/pippa_cleaned/0000.parquet \
    -o /output/temp/ \
    -cf /output/dolphin-2.2-yi-34b-200k-4bpw-h6-exl2/ \
    -l 8192 \
    -ml 8192 \
    -b 4 \
    -hb 6
```