93 lines
3.7 KiB
Markdown
93 lines
3.7 KiB
Markdown
|
---
|
||
|
|
base_model: Delta-Vector/Francois-PE-V2-Huali-12B
|
||
|
|
datasets:
|
||
|
|
- PocketDoc/Dans-Personamaxx-VN
|
||
|
|
- NewEden/LIMARP-Complexity
|
||
|
|
- NewEden/PIPPA-Mega-Filtered
|
||
|
|
- NewEden/OpenCAI-ShareGPT
|
||
|
|
- NewEden/Creative_Writing-Complexity
|
||
|
|
- NewEden/Light-Novels-Roleplay-Logs-Books-Oh-My-duplicate-turns-removed
|
||
|
|
- PocketDoc/Dans-Failuremaxx-Adventure-3
|
||
|
|
- NewEden/Books-V2-ShareGPT
|
||
|
|
- NewEden/Deepseek-V3-RP-Filtered
|
||
|
|
- NewEden/BlueSky-10K-Complexity
|
||
|
|
- NewEden/Final-Alpindale-LNs-ShareGPT
|
||
|
|
- NewEden/DeepseekRP-Filtered
|
||
|
|
- NewEden/RP-logs-V2-Experimental
|
||
|
|
- anthracite-org/kalo_opus_misc_240827
|
||
|
|
- anthracite-org/kalo_misc_part2
|
||
|
|
- NewEden/vanilla-backrooms-claude-sharegpt
|
||
|
|
- NewEden/Storium-Prefixed-Clean
|
||
|
|
- NewEden/KTO-IF-Dans
|
||
|
|
- NewEden/KTO-Instruct-Mix
|
||
|
|
- NewEden/Opus-accepted-hermes-rejected-shuffled
|
||
|
|
language:
|
||
|
|
- en
|
||
|
|
library_name: transformers
|
||
|
|
mradermacher:
|
||
|
|
readme_rev: 1
|
||
|
|
quantized_by: mradermacher
|
||
|
|
tags:
|
||
|
|
- fine-tuning
|
||
|
|
- prose
|
||
|
|
- KTO
|
||
|
|
- axolotl
|
||
|
|
- finetune
|
||
|
|
- roleplaying
|
||
|
|
- creative-writing
|
||
|
|
---
|
||
|
|
## About
|
||
|
|
|
||
|
|
<!-- ### quantize_version: 2 -->
|
||
|
|
<!-- ### output_tensor_quantised: 1 -->
|
||
|
|
<!-- ### convert_type: hf -->
|
||
|
|
<!-- ### vocab_type: -->
|
||
|
|
<!-- ### tags: nicoboss -->
|
||
|
|
weighted/imatrix quants of https://huggingface.co/Delta-Vector/Francois-PE-V2-Huali-12B
|
||
|
|
|
||
|
|
<!-- provided-files -->
|
||
|
|
|
||
|
|
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Francois-PE-V2-Huali-12B-i1-GGUF).***
|
||
|
|
|
||
|
|
static quants are available at https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-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://www.modelscope.cn/models/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/master/Francois-PE-V2-Huali-12B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 4.0 | |
|
||
|
|
| [GGUF](https://www.modelscope.cn/models/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/master/Francois-PE-V2-Huali-12B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 5.4 | |
|
||
|
|
| [GGUF](https://www.modelscope.cn/models/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/master/Francois-PE-V2-Huali-12B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 6.8 | |
|
||
|
|
| [GGUF](https://www.modelscope.cn/models/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/master/Francois-PE-V2-Huali-12B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 7.6 | fast, recommended |
|
||
|
|
| [GGUF](https://www.modelscope.cn/models/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/master/Francois-PE-V2-Huali-12B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 8.8 | |
|
||
|
|
| [GGUF](https://www.modelscope.cn/models/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/master/Francois-PE-V2-Huali-12B.i1-Q6_K.gguf) | i1-Q6_K | 10.2 | 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 -->
|
||
|
|
|