🔄 In a Training Loop
Zxbc
zxbc2023
AI & ML interests
I make things less shitty.
Recent Activity
new activity 1 day ago
OrionLLM/GRM-3.2-Sky:Any update in the pipeline? liked a model 2 days ago
Rom3rk/Qwen3.8-27B-ComfyUI new activity 3 days ago
ornith-ai/Ornith-1.5-35B-A3B:Best local model that runs on commodity hardwareOrganizations
Any update in the pipeline?
👍 1
3
#6 opened 1 day ago
by
zxbc2023
Best local model that runs on commodity hardware
😔 1
22
#23 opened 7 days ago
by
dwidlee
Low quality and gaslighting
1
#20 opened 8 days ago
by
I-Am-Sam
model-00016-of-00016.safetensors was just updated... What?
3
#25 opened 7 days ago
by
pathosethoslogos
Great work. Bad advertisement.
👍 5
2
#17 opened 9 days ago
by
Izenflamm
No speculative decoding, No QAT
8
#21 opened 7 days ago
by
engrtipusultan
in my local heavy agentic work your model is way better
❤️ 3
3
#2 opened 8 days ago
by
ntoytoy
Code acceptance rate and token speed drops on write tool calls in pi coding agent
👍➕ 3
6
#3 opened 11 days ago
by
sandeshrajx
Seems to perform worse than 1.0
👍 3
1
#13 opened 10 days ago
by
russellcg
mtp.* tensors look like random init, not trained weights
🧠👍 9
14
#10 opened 10 days ago
by
EryriLabs
🚩 Report: Illegal or restricted content
🧠🤯 3
11
#3 opened 10 days ago
by
seadownfallpioneer10
Yet to see any gains from DFlash
👍 10
13
#3 opened 11 days ago
by
Dnonmi
Use DFlash instead of MTP and stop wasting time
👍 4
1
#11 opened 10 days ago
by
zxbc2023
Incorrect answer to simple arithmetic question on the i1-Q4_K_S imatrix quant
#1 opened 11 days ago
by
zxbc2023
Q4_K_M wrong number of tensors; expected 81, got 58
➕ 5
2
#4 opened 11 days ago
by
JMorris1999
Isn't it think too much?
6
#1 opened 12 days ago
by
emircanerkul
can you upload a smaller sized quant like q4_k_xl or q5_k_xl? or i matrix
2
#2 opened 13 days ago
by
ahmedsevenup
Beats native MTP head by 10-20% across the board
➕ 2
3
#1 opened 13 days ago
by
zxbc2023
Performance results
5
#1 opened 15 days ago
by
nawoalanor