use super::iq1s_grid::IQ1S_GRID;
use crate::error::{QuantError, QuantResult};
use crate::traits::QuantKernel;
use crate::types::QuantTensor;
const IQ1M_BLOCK_SIZE: usize = 256;
const IQ1M_BLOCK_BYTES: usize = 56;
const IQ1M_QS_OFFSET: usize = 0;
const IQ1M_QH_OFFSET: usize = 32;
const IQ1M_SCALES_OFFSET: usize = 48;
const IQ1M_N_SUBBLOCKS: usize = 8;
const IQ1M_SUB_BLOCK_SIZE: usize = IQ1M_BLOCK_SIZE / IQ1M_N_SUBBLOCKS; const IQ1M_GROUPS_PER_SUB: usize = 4;
const IQ1M_WEIGHTS_PER_GROUP: usize = 8;
const IQ1M_DELTA: f32 = 0.125;
fn reconstruct_d(scales: &[u8]) -> f32 {
let sc0 = u16::from_le_bytes([scales[0], scales[1]]);
let sc1 = u16::from_le_bytes([scales[2], scales[3]]);
let sc2 = u16::from_le_bytes([scales[4], scales[5]]);
let sc3 = u16::from_le_bytes([scales[6], scales[7]]);
let d_bits: u16 = (sc0 >> 12) | ((sc1 >> 8) & 0x00f0) | ((sc2 >> 4) & 0x0f00) | (sc3 & 0xf000);
half::f16::from_bits(d_bits).to_f32()
}
fn dequant_iq1m_block(block: &[u8], output: &mut [f32]) -> QuantResult<()> {
if block.len() < IQ1M_BLOCK_BYTES {
return Err(QuantError::BufferTooSmall {
needed: IQ1M_BLOCK_BYTES,
available: block.len(),
});
}
if output.len() < IQ1M_BLOCK_SIZE {
return Err(QuantError::BufferTooSmall {
needed: IQ1M_BLOCK_SIZE,
available: output.len(),
});
}
let qs = &block[IQ1M_QS_OFFSET..IQ1M_QH_OFFSET];
let qh = &block[IQ1M_QH_OFFSET..IQ1M_SCALES_OFFSET];
let scales = &block[IQ1M_SCALES_OFFSET..IQ1M_BLOCK_BYTES];
let d = reconstruct_d(scales);
let sc: [u16; 4] = [
u16::from_le_bytes([scales[0], scales[1]]),
u16::from_le_bytes([scales[2], scales[3]]),
u16::from_le_bytes([scales[4], scales[5]]),
u16::from_le_bytes([scales[6], scales[7]]),
];
for ib in 0..IQ1M_N_SUBBLOCKS {
let sc_pair = sc[ib / 2];
let sc_shift_base = 6 * (ib % 2);
let dl1 = d * (2.0 * (((sc_pair >> sc_shift_base) & 0x7) as f32) + 1.0);
let dl2 = d * (2.0 * (((sc_pair >> (sc_shift_base + 3)) & 0x7) as f32) + 1.0);
let qs_base = ib * IQ1M_GROUPS_PER_SUB;
let qh_base = ib * 2;
let qh0 = qh[qh_base] as usize;
let qh1 = qh[qh_base + 1] as usize;
let idx: [usize; 4] = [
(qs[qs_base] as usize) | ((qh0 << 8) & 0x700),
(qs[qs_base + 1] as usize) | ((qh0 << 4) & 0x700),
(qs[qs_base + 2] as usize) | ((qh1 << 8) & 0x700),
(qs[qs_base + 3] as usize) | ((qh1 << 4) & 0x700),
];
let delta: [f32; 4] = [
if qh[qh_base] & 0x08 != 0 {
-IQ1M_DELTA
} else {
IQ1M_DELTA
},
if qh[qh_base] & 0x80 != 0 {
-IQ1M_DELTA
} else {
IQ1M_DELTA
},
if qh[qh_base + 1] & 0x08 != 0 {
-IQ1M_DELTA
} else {
IQ1M_DELTA
},
if qh[qh_base + 1] & 0x80 != 0 {
-IQ1M_DELTA
} else {
IQ1M_DELTA
},
];
let output_base = ib * IQ1M_SUB_BLOCK_SIZE;
for l in 0..IQ1M_GROUPS_PER_SUB {
let dl = if l < 2 { dl1 } else { dl2 };
let grid_raw = IQ1S_GRID[idx[l]].to_le_bytes();
let group_base = output_base + l * IQ1M_WEIGHTS_PER_GROUP;
for j in 0..IQ1M_WEIGHTS_PER_GROUP {
let gv = grid_raw[j] as i8 as f32;
output[group_base + j] = dl * (gv + delta[l]);
}
}
}
Ok(())
}
pub struct Iq1MRef;
impl QuantKernel for Iq1MRef {
fn dequant_block(&self, block: &[u8], output: &mut [f32]) -> QuantResult<()> {
dequant_iq1m_block(block, output)
}
fn gemv(
&self,
quant_matrix: &QuantTensor,
input: &[f32],
output: &mut [f32],
) -> QuantResult<()> {
let n_rows = quant_matrix.shape[0];
let n_cols = if quant_matrix.shape.len() > 1 {
quant_matrix.shape[1]
} else {
quant_matrix.n_elements() / n_rows
};
if input.len() < n_cols {
return Err(QuantError::DimensionMismatch {
expected: n_cols,
got: input.len(),
});
}
if output.len() < n_rows {
return Err(QuantError::DimensionMismatch {
expected: n_rows,
got: output.len(),
});
}
let blocks_per_row = n_cols.div_ceil(IQ1M_BLOCK_SIZE);
let row_bytes = blocks_per_row * IQ1M_BLOCK_BYTES;
for (row, out) in output.iter_mut().enumerate().take(n_rows) {
let row_start = row * row_bytes;
let mut sum = 0.0_f32;
for blk in 0..blocks_per_row {
let block_offset = row_start + blk * IQ1M_BLOCK_BYTES;
let block = &quant_matrix.data[block_offset..block_offset + IQ1M_BLOCK_BYTES];
let qs = &block[IQ1M_QS_OFFSET..IQ1M_QH_OFFSET];
let qh = &block[IQ1M_QH_OFFSET..IQ1M_SCALES_OFFSET];
let scales = &block[IQ1M_SCALES_OFFSET..IQ1M_BLOCK_BYTES];
let d = reconstruct_d(scales);
let sc: [u16; 4] = [
u16::from_le_bytes([scales[0], scales[1]]),
u16::from_le_bytes([scales[2], scales[3]]),
u16::from_le_bytes([scales[4], scales[5]]),
u16::from_le_bytes([scales[6], scales[7]]),
];
for ib in 0..IQ1M_N_SUBBLOCKS {
let sc_pair = sc[ib / 2];
let sc_shift_base = 6 * (ib % 2);
let dl1 = d * (2.0 * (((sc_pair >> sc_shift_base) & 0x7) as f32) + 1.0);
let dl2 = d * (2.0 * (((sc_pair >> (sc_shift_base + 3)) & 0x7) as f32) + 1.0);
let qs_base = ib * IQ1M_GROUPS_PER_SUB;
let qh_base = ib * 2;
let qh0 = qh[qh_base] as usize;
let qh1 = qh[qh_base + 1] as usize;
let idx: [usize; 4] = [
(qs[qs_base] as usize) | ((qh0 << 8) & 0x700),
(qs[qs_base + 1] as usize) | ((qh0 << 4) & 0x700),
(qs[qs_base + 2] as usize) | ((qh1 << 8) & 0x700),
(qs[qs_base + 3] as usize) | ((qh1 << 4) & 0x700),
];
let delta: [f32; 4] = [
if qh[qh_base] & 0x08 != 0 {
-IQ1M_DELTA
} else {
IQ1M_DELTA
},
if qh[qh_base] & 0x80 != 0 {
-IQ1M_DELTA
} else {
IQ1M_DELTA
},
if qh[qh_base + 1] & 0x08 != 0 {
-IQ1M_DELTA
} else {
IQ1M_DELTA
},
if qh[qh_base + 1] & 0x80 != 0 {
-IQ1M_DELTA
} else {
IQ1M_DELTA
},
];
let col_base = blk * IQ1M_BLOCK_SIZE + ib * IQ1M_SUB_BLOCK_SIZE;
for l in 0..IQ1M_GROUPS_PER_SUB {
let dl = if l < 2 { dl1 } else { dl2 };
let grid_raw = IQ1S_GRID[idx[l]].to_le_bytes();
let col = col_base + l * IQ1M_WEIGHTS_PER_GROUP;
for (j, &raw_byte) in grid_raw.iter().enumerate() {
let global_col = col + j;
if global_col >= n_cols {
break;
}
let gv = raw_byte as i8 as f32;
sum += dl * (gv + delta[l]) * input[global_col];
}
}
}
}
*out = sum;
}
Ok(())
}
fn gemm(
&self,
quant_matrix: &QuantTensor,
input: &[f32],
output: &mut [f32],
m: usize,
n: usize,
k: usize,
) -> QuantResult<()> {
for row in 0..m {
let input_row = &input[row * k..(row + 1) * k];
let output_row = &mut output[row * n..(row + 1) * n];
self.gemv(quant_matrix, input_row, output_row)?;
}
Ok(())
}
fn block_size(&self) -> usize {
IQ1M_BLOCK_SIZE
}
fn block_bytes(&self) -> usize {
IQ1M_BLOCK_BYTES
}
fn name(&self) -> &'static str {
"IQ1_M"
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::traits::QuantKernel;
fn make_zero_iq1m_block() -> [u8; IQ1M_BLOCK_BYTES] {
[0u8; IQ1M_BLOCK_BYTES]
}
fn make_scaled_iq1m_block(d: f32) -> [u8; IQ1M_BLOCK_BYTES] {
let mut block = [0u8; IQ1M_BLOCK_BYTES];
let d_bits = half::f16::from_f32(d).to_bits();
let sc0: u16 = (d_bits & 0x000f) << 12;
let sc1: u16 = (d_bits & 0x00f0) << 8;
let sc2: u16 = (d_bits & 0x0f00) << 4;
let sc3: u16 = d_bits & 0xf000;
let sc0_bytes = sc0.to_le_bytes();
let sc1_bytes = sc1.to_le_bytes();
let sc2_bytes = sc2.to_le_bytes();
let sc3_bytes = sc3.to_le_bytes();
block[48] = sc0_bytes[0];
block[49] = sc0_bytes[1];
block[50] = sc1_bytes[0];
block[51] = sc1_bytes[1];
block[52] = sc2_bytes[0];
block[53] = sc2_bytes[1];
block[54] = sc3_bytes[0];
block[55] = sc3_bytes[1];
block
}
#[test]
fn test_iq1_m_metadata() {
assert_eq!(Iq1MRef.name(), "IQ1_M");
assert_eq!(Iq1MRef.block_size(), 256);
assert_eq!(Iq1MRef.block_bytes(), 56);
}
#[test]
fn test_dequant_buffer_too_small_block() {
let small = [0u8; 30];
let mut out = [0.0f32; 256];
let result = Iq1MRef.dequant_block(&small, &mut out);
assert!(matches!(result, Err(QuantError::BufferTooSmall { .. })));
}
#[test]
fn test_dequant_buffer_too_small_output() {
let block = make_zero_iq1m_block();
let mut out = [0.0f32; 100];
let result = Iq1MRef.dequant_block(&block, &mut out);
assert!(matches!(result, Err(QuantError::BufferTooSmall { .. })));
}
#[test]
fn test_dequant_zero_scale() {
let block = make_zero_iq1m_block();
let mut out = [1.0f32; 256];
Iq1MRef.dequant_block(&block, &mut out).unwrap();
for (i, &v) in out.iter().enumerate() {
assert_eq!(v, 0.0, "output[{i}] should be 0 when d=0, got {v}");
}
}
#[test]
fn test_reconstruct_d_roundtrip() {
let d_in = 2.0_f32;
let block = make_scaled_iq1m_block(d_in);
let scales = &block[IQ1M_SCALES_OFFSET..IQ1M_BLOCK_BYTES];
let d_out = reconstruct_d(scales);
assert!(
(d_out - d_in).abs() < 1e-2,
"d_out={d_out}, expected {d_in}"
);
}
#[test]
fn test_dequant_nonzero_scale_grid0() {
let d = 1.0_f32;
let block = make_scaled_iq1m_block(d);
let mut out = [0.0f32; 256];
Iq1MRef.dequant_block(&block, &mut out).unwrap();
let d_actual = {
let scales = &block[IQ1M_SCALES_OFFSET..IQ1M_BLOCK_BYTES];
reconstruct_d(scales)
};
let expected = d_actual * (-1.0 + IQ1M_DELTA);
for (i, &v) in out.iter().enumerate() {
assert!(
(v - expected).abs() < 1e-3,
"output[{i}] = {v}, expected {expected}"
);
}
}
#[test]
fn test_supported_by_dispatcher() {
use crate::dispatch::KernelDispatcher;
let d = KernelDispatcher::new();
assert!(d.is_supported(oxillama_gguf::GgufTensorType::Iq1M));
}
#[test]
fn test_gemv_dot_ones_matches_dequant_sum() {
let block = make_scaled_iq1m_block(1.0);
let mut dequant = [0.0f32; 256];
Iq1MRef.dequant_block(&block, &mut dequant).unwrap();
let expected: f32 = dequant.iter().sum();
let tensor = crate::types::QuantTensor::new(
block.to_vec(),
vec![1, 256],
oxillama_gguf::GgufTensorType::Iq1M,
);
let input = vec![1.0f32; 256];
let mut out = [0.0f32; 1];
Iq1MRef.gemv(&tensor, &input, &mut out).unwrap();
assert!(
(out[0] - expected).abs() < 1e-3,
"gemv={}, expected dequant_sum={}",
out[0],
expected
);
}
}