|
--- |
|
base_model: ContextualAI/archangel_sft-kto_llama30b |
|
datasets: |
|
- stanfordnlp/SHP |
|
- Anthropic/hh-rlhf |
|
- OpenAssistant/oasst1 |
|
language: |
|
- en |
|
library_name: transformers |
|
license: apache-2.0 |
|
quantized_by: mradermacher |
|
tags: |
|
- human feedback |
|
- rlhf |
|
- preferences |
|
- alignment |
|
- HALO |
|
- halos |
|
- dpo |
|
- rl |
|
--- |
|
## About |
|
|
|
<!-- ### quantize_version: 2 --> |
|
<!-- ### output_tensor_quantised: 1 --> |
|
<!-- ### convert_type: hf --> |
|
<!-- ### vocab_type: --> |
|
<!-- ### tags: nicoboss --> |
|
weighted/imatrix quants of https://huggingface.co/ContextualAI/archangel_sft-kto_llama30b |
|
|
|
<!-- provided-files --> |
|
static quants are available at https://huggingface.co/mradermacher/archangel_sft-kto_llama30b-GGUF |
|
## Usage |
|
|
|
If you are unsure how to use GGUF files, refer to one of [TheBloke's |
|
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for |
|
more details, including on how to concatenate multi-part files. |
|
|
|
## Provided Quants |
|
|
|
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) |
|
|
|
| Link | Type | Size/GB | Notes | |
|
|:-----|:-----|--------:|:------| |
|
| [GGUF](https://huggingface.co/mradermacher/archangel_sft-kto_llama30b-i1-GGUF/resolve/main/archangel_sft-kto_llama30b.i1-IQ1_S.gguf) | i1-IQ1_S | 7.2 | for the desperate | |
|
| [GGUF](https://huggingface.co/mradermacher/archangel_sft-kto_llama30b-i1-GGUF/resolve/main/archangel_sft-kto_llama30b.i1-IQ1_M.gguf) | i1-IQ1_M | 7.8 | mostly desperate | |
|
| [GGUF](https://huggingface.co/mradermacher/archangel_sft-kto_llama30b-i1-GGUF/resolve/main/archangel_sft-kto_llama30b.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 8.8 | | |
|
| [GGUF](https://huggingface.co/mradermacher/archangel_sft-kto_llama30b-i1-GGUF/resolve/main/archangel_sft-kto_llama30b.i1-IQ2_XS.gguf) | i1-IQ2_XS | 9.7 | | |
|
| [GGUF](https://huggingface.co/mradermacher/archangel_sft-kto_llama30b-i1-GGUF/resolve/main/archangel_sft-kto_llama30b.i1-IQ2_S.gguf) | i1-IQ2_S | 10.5 | | |
|
| [GGUF](https://huggingface.co/mradermacher/archangel_sft-kto_llama30b-i1-GGUF/resolve/main/archangel_sft-kto_llama30b.i1-IQ2_M.gguf) | i1-IQ2_M | 11.3 | | |
|
| [GGUF](https://huggingface.co/mradermacher/archangel_sft-kto_llama30b-i1-GGUF/resolve/main/archangel_sft-kto_llama30b.i1-Q2_K.gguf) | i1-Q2_K | 12.1 | IQ3_XXS probably better | |
|
| [GGUF](https://huggingface.co/mradermacher/archangel_sft-kto_llama30b-i1-GGUF/resolve/main/archangel_sft-kto_llama30b.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 12.4 | lower quality | |
|
| [GGUF](https://huggingface.co/mradermacher/archangel_sft-kto_llama30b-i1-GGUF/resolve/main/archangel_sft-kto_llama30b.i1-IQ3_XS.gguf) | i1-IQ3_XS | 13.4 | | |
|
| [GGUF](https://huggingface.co/mradermacher/archangel_sft-kto_llama30b-i1-GGUF/resolve/main/archangel_sft-kto_llama30b.i1-IQ3_S.gguf) | i1-IQ3_S | 14.2 | beats Q3_K* | |
|
| [GGUF](https://huggingface.co/mradermacher/archangel_sft-kto_llama30b-i1-GGUF/resolve/main/archangel_sft-kto_llama30b.i1-Q3_K_S.gguf) | i1-Q3_K_S | 14.2 | IQ3_XS probably better | |
|
| [GGUF](https://huggingface.co/mradermacher/archangel_sft-kto_llama30b-i1-GGUF/resolve/main/archangel_sft-kto_llama30b.i1-IQ3_M.gguf) | i1-IQ3_M | 15.0 | | |
|
| [GGUF](https://huggingface.co/mradermacher/archangel_sft-kto_llama30b-i1-GGUF/resolve/main/archangel_sft-kto_llama30b.i1-Q3_K_M.gguf) | i1-Q3_K_M | 15.9 | IQ3_S probably better | |
|
| [GGUF](https://huggingface.co/mradermacher/archangel_sft-kto_llama30b-i1-GGUF/resolve/main/archangel_sft-kto_llama30b.i1-Q3_K_L.gguf) | i1-Q3_K_L | 17.4 | IQ3_M probably better | |
|
| [GGUF](https://huggingface.co/mradermacher/archangel_sft-kto_llama30b-i1-GGUF/resolve/main/archangel_sft-kto_llama30b.i1-IQ4_XS.gguf) | i1-IQ4_XS | 17.4 | | |
|
| [GGUF](https://huggingface.co/mradermacher/archangel_sft-kto_llama30b-i1-GGUF/resolve/main/archangel_sft-kto_llama30b.i1-Q4_0.gguf) | i1-Q4_0 | 18.5 | fast, low quality | |
|
| [GGUF](https://huggingface.co/mradermacher/archangel_sft-kto_llama30b-i1-GGUF/resolve/main/archangel_sft-kto_llama30b.i1-Q4_K_S.gguf) | i1-Q4_K_S | 18.6 | optimal size/speed/quality | |
|
| [GGUF](https://huggingface.co/mradermacher/archangel_sft-kto_llama30b-i1-GGUF/resolve/main/archangel_sft-kto_llama30b.i1-Q4_K_M.gguf) | i1-Q4_K_M | 19.7 | fast, recommended | |
|
| [GGUF](https://huggingface.co/mradermacher/archangel_sft-kto_llama30b-i1-GGUF/resolve/main/archangel_sft-kto_llama30b.i1-Q5_K_S.gguf) | i1-Q5_K_S | 22.5 | | |
|
| [GGUF](https://huggingface.co/mradermacher/archangel_sft-kto_llama30b-i1-GGUF/resolve/main/archangel_sft-kto_llama30b.i1-Q5_K_M.gguf) | i1-Q5_K_M | 23.1 | | |
|
| [GGUF](https://huggingface.co/mradermacher/archangel_sft-kto_llama30b-i1-GGUF/resolve/main/archangel_sft-kto_llama30b.i1-Q6_K.gguf) | i1-Q6_K | 26.8 | practically like static Q6_K | |
|
|
|
Here is a handy graph by ikawrakow comparing some lower-quality quant |
|
types (lower is better): |
|
|
|
 |
|
|
|
And here are Artefact2's thoughts on the matter: |
|
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 |
|
|
|
## FAQ / Model Request |
|
|
|
See https://huggingface.co/mradermacher/model_requests for some answers to |
|
questions you might have and/or if you want some other model quantized. |
|
|
|
## Thanks |
|
|
|
I thank my company, [nethype GmbH](https://www.nethype.de/), for letting |
|
me use its servers and providing upgrades to my workstation to enable |
|
this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to. |
|
|
|
<!-- end --> |
|
|
