Commit Graph

3770 Commits

Author SHA1 Message Date
Iwan Kawrakow
4813e458a0 iq1_m: repack to q8_k_r8 2025-06-15 20:03:56 +03:00
Iwan Kawrakow
67632541ce iq1_s: repack to q8_k_r8 2025-06-15 19:16:13 +03:00
Iwan Kawrakow
6760096deb iq3_s: use q8_k_r8 2025-06-15 18:29:12 +03:00
Iwan Kawrakow
a2f5c251fb iq3_xxs: repack to q8_k_r8 2025-06-15 17:46:14 +03:00
Iwan Kawrakow
7da3c043e4 iq2_xs: repack to q8_k_r8 2025-06-15 15:58:24 +03:00
Iwan Kawrakow
d08b635612 WIP 2025-06-15 14:50:16 +03:00
Iwan Kawrakow
c2c8d70187 iq2_xs: rapck to q8_k_r8 2025-06-15 12:31:12 +03:00
Iwan Kawrakow
fc67346225 iq2_s: repack to q8_k_r8 instead of q8_0_r8 2025-06-15 11:54:42 +03:00
Iwan Kawrakow
9fe58aac13 q3_K: don't scale when all quants in a block are <= 127 when repacking 2025-06-15 10:52:26 +03:00
Iwan Kawrakow
e10f7d1f10 q3_K: repack to q8_k_r8 instead of q8_0_r8
With that we hit 360 t/s for LlaMA-3.1-8B on a Ryzen-7950X.
q8_k_r8 is 386 t/s, so for a batch size of 512 repacking costs
~7% of the time taken by the actual GEMM.
2025-06-15 10:37:12 +03:00
Iwan Kawrakow
b22bdd965d Fix q8_k_r8 on Zen4 2025-06-15 08:05:55 +03:00
Iwan Kawrakow
c7b8c0f865 q3_K 2025-06-14 17:37:35 +03:00
Iwan Kawrakow
649055ec8a iq2_s 2025-06-14 15:53:04 +03:00
Iwan Kawrakow
999d7f84b4 Fix AVX2 2025-06-14 14:59:34 +03:00
Iwan Kawrakow
a442d69990 iq2_xs 2025-06-14 14:50:03 +03:00
Iwan Kawrakow
b02a73c1ec Fix AVX2 2025-06-14 11:20:35 +03:00
Iwan Kawrakow
13ce76a85c We don't need the changes in ggml.c 2025-06-14 10:04:05 +03:00
Iwan Kawrakow
51560b3656 Very slightly better 2025-06-14 09:54:29 +03:00
Iwan Kawrakow
8f415db1f2 Finally q6_K x q8_2_x4 dot product works 2025-06-14 09:17:03 +03:00
Iwan Kawrakow
7cf0d8b7d9 WIP 2025-06-13 18:43:14 +03:00
Iwan Kawrakow
d454ada64f Much easier: just use different vec_dot types! 2025-06-13 17:43:28 +03:00
Iwan Kawrakow
853d581de0 q6_K dequantizing GEMM 2025-06-13 15:22:03 +03:00
Kawrakow
066ed4fd11 Faster CPU prompt processing for Q4_K and Q5_K (#525)
* q4_K: dequantize to q8_1_r8 for batch >= 32

We get 268 t/s, up from 186 t/s.

* q4_K: GEMM with q8_2_X4

* q5_K: GEMM with q8_2_X4 and repack to q8_1_r8

* Remove the scales, they are not needed

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2025-06-13 07:58:15 +03:00
saood06
f72983f7fe Update News section of readme (#510)
* Convert existing News to new format

* Update with new ones

* Add more links and minor fix

* more minor fixes

* requested changes

* Add old PRs

* Add more old PRs

* Add all IQK quants
2025-06-13 07:56:40 +03:00
Kawrakow
7a882f0b63 Perhaps a slightly better version for IQ2_XXS, IQ3_XXS, IQ3_S GEMV (#524)
Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2025-06-13 07:55:57 +03:00
Kawrakow
b57bd8658b Better strategy for GPU offload (#520)
Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2025-06-12 19:25:11 +03:00
firecoperana
7b1a3eece7 Add top n sigma sampler and other webui fix (#512)
Co-authored-by: firecoperana <firecoperana>
2025-06-12 08:19:26 +03:00
Kawrakow
4fc3cb4a47 iq3_s: much faster GEMM via repacking to q8_0_r8 (#518)
Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2025-06-12 08:16:12 +03:00
Kawrakow
3f54b49786 Faster iq1_s GEMM via repacking to Q8_0_R8 (#517)
TG is slightly faster too - 24.4 vs 23.1 t/s on the
Ryzen-5975WX

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2025-06-11 15:01:34 +03:00
Kawrakow
69af3f5990 Much faster iq3_xxs GEMM via repacking to q8_0_r8 (AVX2) (#516)
Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2025-06-11 13:05:26 +03:00
Kawrakow
e56061fa12 IQ2_XXS: much faster CPU prompt processing (#515)
* Much faster iq2_xxs GEMM

PP-512 = 290 t/s vs ~110 t/s (iq2_xxs) or 148 t/s (iq2_xxs_r4) on main.

* iq2_xxs: q8_2_x4 GEMM

* iq2_xxs: use template for q8_2_x4 GEMM

* Fix AVX2

* Cleanup

* NEON is not working yet, so still use Q8_K GEMM

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2025-06-11 11:12:30 +03:00
Gaolingx
3c1f2c68fd Fix Compile error (C2668) (#508)
* cmake: force MSVC compiler charset to utf-8

* build: apply MSVC /bigobj option to c/cpp files only

* Update CMakeLists.txt

* Fix Compile error (C2668)

* revert hsum_float_8x8
2025-06-10 08:30:17 +03:00
saood06
fa90a9864a Docs update (#509)
* use npm as deps manager and vite as bundler

* update XTC docs

---------

Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
2025-06-09 05:32:03 -05:00
firecoperana
58f08e4385 Fix non rpc build error (#506)
* Add RPC backend in device list to override tensors.

* rpc : prevent crashes on invalid input (#9040)

Add more checks which prevent RPC server from crashing if invalid input
is received from client
# Conflicts:
#	ggml/src/ggml-rpc.cpp

* rpc : print error message when failed to connect endpoint (#9042)

* Fix RPC error

* Add vulkan, sycl to rpc backend

* add thread in rpc cpu backend

* add cache folder and other improvement in rpc

* add header file

* support for models with non-512 aligned tensors

* rpc : do not wait for response when sending RPC_CMD_SET_TENSOR (#12943)

RPC_CMD_SET_TENSOR always returns an empty response and we send this 4
times per token. We can improve TG speed if we don't wait for this empty
response.

The performance impact of this change depends on the network latency.
# Conflicts:
#	ggml/src/ggml-rpc.cpp

* fix(rpc): Improve input validation and error handling (#13069)

* fix(rpc): Improve input validation and error handling

The `rpc-server` was vulnerable to Denial of Service attacks via
several RPC commands (`SET_TENSOR`, `GRAPH_COMPUTE`, etc.). Malformed
messages could trigger failed assertions (e.g., invalid `ggml_type`)
or out-of-bounds reads/writes leading to `GGML_ABORT` calls,
crashing the server process.

This PR introduces robust input validation and replaces `abort()`
calls with graceful error handling:

- **Type Validation:** `deserialize_tensor` now checks if the
  `tensor->type` is within the valid `GGML_TYPE_COUNT` range
  *before* calling `ggml_new_tensor_4d`. Returns `nullptr` on
  invalid type.
- **Bounds Checks:** Replaced `GGML_ABORT` in `set_tensor`,
  `set_tensor_hash`, and `get_tensor` handlers with error
  logging and returning `false` when data/offset parameters
  are out of buffer bounds.
- **Size Checks:** Added safe arithmetic checks (for overflow) in
  `graph_compute` when calculating required message sizes based
  on client-provided `n_nodes` and `n_tensors`. Returns early
  if the reported sizes conflict with the actual message size or
  would lead to overflow.
- **Error Propagation:**
    - `create_node` now checks for `nullptr` return values from
      `deserialize_tensor` and its recursive calls, propagating
      `nullptr` upwards on failure. Uses `find` instead of `at`
      for safer map access.
    - `copy_tensor` now checks for `nullptr` from `deserialize_tensor`
      and sets the response status to failure if deserialization
      or bounds checks fail.
    - `graph_compute` now checks for `nullptr` return from
      `create_node` and returns failure status correctly. The final
      return value now reflects the actual computation status.

These changes improve the RPC server's resilience
against malformed client requests, preventing crashes and ensuring
errors are handled more gracefully.

Signed-off-by: Ville Vesilehto <ville@vesilehto.fi>

* refactor(rpc): address pr comments

removed comments and unnecessary returns

Signed-off-by: Ville Vesilehto <ville@vesilehto.fi>

* refactor(rpc): ambiguous nullptr from create_node

rpc_server::create_node could previously return nullptr if the input ID
was 0 (valid) or if an internal error (deserialization, recursion
failure) occurred (invalid). This ambiguity made error handling
difficult for the caller (`graph_compute`).

This commit clarifies the meaning of nullptr:
- `graph_compute` now checks if the input 'id' was non-zero when
  `create_node` returns nullptr, correctly identifying failures
  versus intentional null links.
- `create_node` avoids recursive calls for zero IDs and propagates
  nullptr unambiguously on failure during recursion.

Signed-off-by: Ville Vesilehto <ville@vesilehto.fi>

* refactor(rpc): initial zero check in create_node

The caller (`graph_compute`) already checks `id != 0` when handling
a `nullptr` return from `create_node`, correctly distinguishing
intentional null links from actual errors. This makes the initial
`if (id == 0)` check redundant.

Also removes the log message when a tensor ID is not found in the
provided map which was added in this branch.

Signed-off-by: Ville Vesilehto <ville@vesilehto.fi>

* fix(rpc): Handle get_alloc_size failure in server

Check the return value of `server.get_alloc_size` in the RPC server
loop. If the call fails, return early to close the connection.

Signed-off-by: Ville Vesilehto <ville@vesilehto.fi>

* refactor(rpc): input size validation in graph_compute

Removes detailed, step-by-step size calculations and overflow
checks in favor of simpler direct comparisons, assuming 64-bit
overflow is unlikely.

Signed-off-by: Ville Vesilehto <ville@vesilehto.fi>

* refactor(rpc): remove extra status code setting

Removes the explicit setting of `response.result = GGML_STATUS_FAILED`
when `create_node` returns `nullptr` within `graph_compute`.
Primary signal is the `false` return value in case of failure.

Signed-off-by: Ville Vesilehto <ville@vesilehto.fi>

* refactor(rpc): remove redundant check for tensor->type

Breaks CI on ubuntu-cpu-make. Tensor type is uint32_t, thus
the check is not needed.

Signed-off-by: Ville Vesilehto <ville@vesilehto.fi>

---------

Signed-off-by: Ville Vesilehto <ville@vesilehto.fi>
# Conflicts:
#	ggml/src/ggml-rpc.cpp

* rpc : fix cache directory initialization (#13188)

Signed-off-by: xiaofei <hbuxiaofei@gmail.com>
# Conflicts:
#	examples/rpc/rpc-server.cpp

* rpc : avoid uninitialized memory in serialize_tensor (#13210)

Zero out the name and padding buffers.

* fix merge error

* Add hello command in RPC

* bug fix

* add rpc header

* fix bug for missing rpc names

* add tpc no delay for rpc

* add back webui

* fix rpc function not found error

---------

Signed-off-by: Ville Vesilehto <ville@vesilehto.fi>
Signed-off-by: xiaofei <hbuxiaofei@gmail.com>
Co-authored-by: firecoperana <firecoperana>
Co-authored-by: Radoslav Gerganov <rgerganov@gmail.com>
Co-authored-by: matt23456 <matt23456>
Co-authored-by: Ville Vesilehto <ville@vesilehto.fi>
Co-authored-by: xiaofei <hbuxiaofei@gmail.com>
Co-authored-by: Justin Santa Barbara <justinsb@google.com>
2025-06-08 17:27:00 +03:00
Iwan Kawrakow
1eabdb420b Revert "Rpc improvement (#480)"
This reverts commit 8a5f8573ae.
2025-06-08 14:49:50 +03:00
firecoperana
8a5f8573ae Rpc improvement (#480)
* Add RPC backend in device list to override tensors.

* rpc : prevent crashes on invalid input (#9040)

Add more checks which prevent RPC server from crashing if invalid input
is received from client
# Conflicts:
#	ggml/src/ggml-rpc.cpp

* rpc : print error message when failed to connect endpoint (#9042)

* Fix RPC error

* Add vulkan, sycl to rpc backend

* add thread in rpc cpu backend

* add cache folder and other improvement in rpc

* add header file

* support for models with non-512 aligned tensors

* rpc : do not wait for response when sending RPC_CMD_SET_TENSOR (#12943)

RPC_CMD_SET_TENSOR always returns an empty response and we send this 4
times per token. We can improve TG speed if we don't wait for this empty
response.

The performance impact of this change depends on the network latency.
# Conflicts:
#	ggml/src/ggml-rpc.cpp

* fix(rpc): Improve input validation and error handling (#13069)

* fix(rpc): Improve input validation and error handling

The `rpc-server` was vulnerable to Denial of Service attacks via
several RPC commands (`SET_TENSOR`, `GRAPH_COMPUTE`, etc.). Malformed
messages could trigger failed assertions (e.g., invalid `ggml_type`)
or out-of-bounds reads/writes leading to `GGML_ABORT` calls,
crashing the server process.

This PR introduces robust input validation and replaces `abort()`
calls with graceful error handling:

- **Type Validation:** `deserialize_tensor` now checks if the
  `tensor->type` is within the valid `GGML_TYPE_COUNT` range
  *before* calling `ggml_new_tensor_4d`. Returns `nullptr` on
  invalid type.
- **Bounds Checks:** Replaced `GGML_ABORT` in `set_tensor`,
  `set_tensor_hash`, and `get_tensor` handlers with error
  logging and returning `false` when data/offset parameters
  are out of buffer bounds.
- **Size Checks:** Added safe arithmetic checks (for overflow) in
  `graph_compute` when calculating required message sizes based
  on client-provided `n_nodes` and `n_tensors`. Returns early
  if the reported sizes conflict with the actual message size or
  would lead to overflow.
- **Error Propagation:**
    - `create_node` now checks for `nullptr` return values from
      `deserialize_tensor` and its recursive calls, propagating
      `nullptr` upwards on failure. Uses `find` instead of `at`
      for safer map access.
    - `copy_tensor` now checks for `nullptr` from `deserialize_tensor`
      and sets the response status to failure if deserialization
      or bounds checks fail.
    - `graph_compute` now checks for `nullptr` return from
      `create_node` and returns failure status correctly. The final
      return value now reflects the actual computation status.

These changes improve the RPC server's resilience
against malformed client requests, preventing crashes and ensuring
errors are handled more gracefully.

Signed-off-by: Ville Vesilehto <ville@vesilehto.fi>

* refactor(rpc): address pr comments

removed comments and unnecessary returns

Signed-off-by: Ville Vesilehto <ville@vesilehto.fi>

* refactor(rpc): ambiguous nullptr from create_node

rpc_server::create_node could previously return nullptr if the input ID
was 0 (valid) or if an internal error (deserialization, recursion
failure) occurred (invalid). This ambiguity made error handling
difficult for the caller (`graph_compute`).

This commit clarifies the meaning of nullptr:
- `graph_compute` now checks if the input 'id' was non-zero when
  `create_node` returns nullptr, correctly identifying failures
  versus intentional null links.
- `create_node` avoids recursive calls for zero IDs and propagates
  nullptr unambiguously on failure during recursion.

Signed-off-by: Ville Vesilehto <ville@vesilehto.fi>

* refactor(rpc): initial zero check in create_node

The caller (`graph_compute`) already checks `id != 0` when handling
a `nullptr` return from `create_node`, correctly distinguishing
intentional null links from actual errors. This makes the initial
`if (id == 0)` check redundant.

Also removes the log message when a tensor ID is not found in the
provided map which was added in this branch.

Signed-off-by: Ville Vesilehto <ville@vesilehto.fi>

* fix(rpc): Handle get_alloc_size failure in server

Check the return value of `server.get_alloc_size` in the RPC server
loop. If the call fails, return early to close the connection.

Signed-off-by: Ville Vesilehto <ville@vesilehto.fi>

* refactor(rpc): input size validation in graph_compute

Removes detailed, step-by-step size calculations and overflow
checks in favor of simpler direct comparisons, assuming 64-bit
overflow is unlikely.

Signed-off-by: Ville Vesilehto <ville@vesilehto.fi>

* refactor(rpc): remove extra status code setting

Removes the explicit setting of `response.result = GGML_STATUS_FAILED`
when `create_node` returns `nullptr` within `graph_compute`.
Primary signal is the `false` return value in case of failure.

Signed-off-by: Ville Vesilehto <ville@vesilehto.fi>

* refactor(rpc): remove redundant check for tensor->type

Breaks CI on ubuntu-cpu-make. Tensor type is uint32_t, thus
the check is not needed.

Signed-off-by: Ville Vesilehto <ville@vesilehto.fi>

---------

Signed-off-by: Ville Vesilehto <ville@vesilehto.fi>
# Conflicts:
#	ggml/src/ggml-rpc.cpp

* rpc : fix cache directory initialization (#13188)

Signed-off-by: xiaofei <hbuxiaofei@gmail.com>
# Conflicts:
#	examples/rpc/rpc-server.cpp

* rpc : avoid uninitialized memory in serialize_tensor (#13210)

Zero out the name and padding buffers.

* fix merge error

* Add hello command in RPC

* bug fix

* add rpc header

* fix bug for missing rpc names

* add tpc no delay for rpc

* add back webui

---------

Signed-off-by: Ville Vesilehto <ville@vesilehto.fi>
Signed-off-by: xiaofei <hbuxiaofei@gmail.com>
Co-authored-by: firecoperana <firecoperana>
Co-authored-by: Radoslav Gerganov <rgerganov@gmail.com>
Co-authored-by: matt23456 <matt23456>
Co-authored-by: Ville Vesilehto <ville@vesilehto.fi>
Co-authored-by: xiaofei <hbuxiaofei@gmail.com>
Co-authored-by: Justin Santa Barbara <justinsb@google.com>
2025-06-08 14:43:21 +03:00
Kawrakow
63ef0a392b Update AUTHORS 2025-06-08 14:41:17 +03:00
firecoperana
df170c83a5 Webui improvement (#481)
* update webui

* add token/s in webui

* add webui files

* fix webui first message disappear in some browser

* add missing html files

---------

Co-authored-by: firecoperana <firecoperana>
2025-06-08 14:38:47 +03:00
saood06
9e567e385a Add an endpoint that lists all the saved prompt caches to server (#502) 2025-06-07 00:22:56 -05:00
Kawrakow
8c1d5a2033 Fix #499 (#501)
Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2025-06-07 08:19:18 +03:00
saood06
ffd87f282e Make prompt cache saving and restoring MLA aware (#497)
* Remove kv_l, kvt_l and just use k_l and v_l

* Hopefully take care of missing V cache (MLA)

* Fix save and restore when there is no V cache

* Fix double print

* Update write_kv_cache_data and read_kv_cache_data to be MLA aware

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2025-06-06 11:33:47 +03:00
Kawrakow
eded4e20d4 IQ1_M_R4 CUDA implementation (#494)
* iq1_m_r4: CUDA dequantize

* iq1_m_r4: CUDA dequantize

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2025-06-05 19:13:51 +03:00
Kawrakow
8ffad187ab MMQ implementation for IQ4_KS_R4 and IQ5_KS_R4 (#493)
* MMQ for iq4_ks_r4

* MMQ for iq5_ks_r4

* Add forgotten file

* Another forgotten file

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2025-06-05 08:31:20 +03:00
Kawrakow
0b10f7418f Faster CPU prompt processing for Trellis quants and MoE models (#488)
* Also do the dequantize approach for mul_mat_id

* Also do the dequantize approach for iqk_moe_fused_up_gate

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2025-06-05 08:30:35 +03:00
Kawrakow
7e79665a31 CUDA implementation for IQ1_S_R4 (#492)
* iq1_s_r4: CUDA dequantize

* iq1_s_r4: CUDA GEMV

* iq1_s_r4: MMQ on CUDA

Requires Turing or better (will fall back to dequantize+cuBLAS on older cards).

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2025-06-05 07:24:31 +03:00
Kawrakow
f6d5fbdc57 Adding top-n-sigma sampler (#489)
* Adding top-n-sigma sampler

* Fix typos in XTC PR

* Update README.md for main and server

* More README

* More README

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2025-06-03 17:35:09 +03:00
Kawrakow
ccb265c016 Adding the XTC sampler (#486)
Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2025-06-03 11:32:03 +03:00
Nexes the Elder
4f8b05a0d7 convert_hf_to_gguf.py : conversion from hf weights to Q6_0 (#483)
* Direct conversion from fp16 to Q6_0

* forgotten comma

* More precise infos
2025-06-03 09:30:30 +03:00
Kawrakow
7a8abe29f7 Minor (~2%) iq2_ks TG performance improvement on CUDA (#468)
Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2025-06-01 15:24:33 +03:00
Kawrakow
3df1a3a44d Trellis quants: faster CPU prompt processing (#482)
* Experimenting with dequant + f32 GEMM

For iq4_kt this results in a massive PP improvement
from PP512 = ~42 t/s to PP512 = 128 t/s.

* Experimenting with dequant + f32 GEMM

iq2_kt: from PP512 = 57.3 t/s to PP512 = 135.0 t/s
iq3_kt: from PP512 = 43.8 t/s to PP512 = 131.4 t/s

* Experimenting with dequant + f16 GEMM on NEON

iq2_kt: PP512 = 79 t/s from 42 t/s
iq3_kt: PP512 = 81 t/s from 35 t/s

Also, found the reason why the f16 implementation for iq4_kt was
not working: it overflows. It works after mltiplying with the row scale
before doing the multiply-adds.

* Experimenting with dequant + f16 GEMM on NEON

iq4_kt: PP512 = 86 t/s from 29 t/s

* Minor

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2025-06-01 15:24:05 +03:00