nx_nofloat_qwen_wload_gate.nx
buildroot/runtime/nx_nofloat_qwen_wload_gate.nx
about
nx_nofloat_qwen_wload_gate.nx -- exercises the canonical library's by-name Q16 loader over the real model's
mixed quant types (F32 norms / Q5_0 q,k,o / Q8_0 v) on blk.0's attention tensors. Logic from nx_nofloat_llm.nx
(DRY -- no copy-paste debt). expect_exit: 0 license_tier: ORIGINAL
dependencies 9 imports · 0 importers
imports: nx_syscalls.nxnx_tier.nxnx_le.nxnx_tensor.nxnx_gguf.nxnx_gguf_load.nxnx_nofloat_llm.nxnx_gate_verdict.nxnx_stage_path.nx
imported by: nobody (leaf or entry point)
call flow from main pre-order; caps 40 nodes / depth 6 declared; ↻ = already shown
structs
| none |
consts
| none |
functions
| 14 | func wl_puts(s: *u8) -> i64 { var n: i64=0; while s[n]!=(0 as u8){n=n+1} sys_write(1,s,n); return 0 } |
| 15 | func wl_num(v: i64) -> i64 { let b: *u8=sys_mmap(28); var m: i64=v; if m<0{m=0-m;sys_write(1,"-" as *u8,1)} let t: *u8=sys_mmap(28); var k: i64=0; if m==0{t[0]=48 as u8;k=1} while m>0{t[k]=(48+(m%10)) as u8;m=m/10;k=k+1} var i: i64=0; while i<k{b[i]=t[k-1-i];i=i+1} sys_write(1,b,k); return 0 } |
| 16 | func wl_slen(s: *u8) -> i64 { var n: i64=0; while s[n]!=(0 as u8){n=n+1} return n } called by 1: main |
| 18 | func main() -> i64 |