Downloads · 30 days
0
0% of all-time downloads
Quant-Cartel/SorcererLM-8x22b-exl2-longcal
SorcererLM-8x22b-exl2-longcal is a text generation model from Quant-Cartel. Use it when you need the model to write or continue text. The card lists the license as apache-2.0.
Quantized using 115 rows of 8192 tokens from the default ExLlamav2-calibration dataset.
Downloads · 30 days
0
0% of all-time downloads
All-time downloads
4
Public
Repo size
574 GB
Likes
1
Public
Click a slice to open those files.
.json3.1 MB · 100%
From the Hugging Face model README
e88 88e d8
d888 888b 8888 8888 ,"Y88b 888 8e d88
C8888 8888D 8888 8888 "8" 888 888 88b d88888
Y888 888P Y888 888P ,ee 888 888 888 888
"88 88" "88 88" "88 888 888 888 888
b
8b,
e88'Y88 d8 888
d888 'Y ,"Y88b 888,8, d88 ,e e, 888
C8888 "8" 888 888 " d88888 d88 88b 888
Y888 ,d ,ee 888 888 888 888 , 888
"88,d88 "88 888 888 888 "YeeP" 888
PROUDLY PRESENTS
Quantized using 115 rows of 8192 tokens from the default ExLlamav2-calibration dataset.
Branches:
main -- measurement.json8b8h -- 8bpw, 8bit lm_head6b6h -- 6bpw, 6bit lm_head5b6h -- 5bpw, 6bit lm_head4.5b6h -- 4.5bpw, 6bit lm_head4b6h -- 4bpw, 6bit lm_head3b6h -- 3bpw, 6bit lm_head2.25b6h -- 2.25bpw, 6bit lm_headOriginal model link: rAIfle/SorcererLM-8x22b-bf16
Original model README below.
<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/6569a4ed2419be6072890cf8/L_uGojVkNUsK6QHvWgs9o.mpga"></audio>
Oh boy, here we go. Low-rank (r=16, alpha=32) 16bit-LoRA on top of WizardLM-2-8x22B, trained on 2 epochs of (cleaned & deduped) c2-logs. As far as I can tell, this is an upgrade from WizardLM-2-8x22B for RP purposes.
Alongside this ready-to-use release I'm also releasing the LoRA itself as well as the earlier epoch1-checkpoint of the LoRA.
The choice was fully intentional. I briefly considered a FFT but for this particular use-case a LoRA seemed a better fit. WizardLM-2-8x22B is smart by itself but its used vocabulary leaves much to be desired when it comes to RP. By training a low-rank LoRA on top of it to teach it some of Claude's writing style, we remedy that.
SorcererLM-folder.The main shoutout I want to make is to my Cartel bros, Envoid and particularly I^2, for being amazing. I count this as a team effort, so they deserve kudos too if you like this.
Trained using qlora-pipe. Configs included in the train-subfolder.
... n/a