Files
Memba/python/memba/core.py
T
emilandClaude Opus 4.7 75c9ee4576 Add memba MVP: C++ core, Python SDK, CLI, examples, experiments
C++ core (libmemba.so):
- include/memba/state.h — C API (state_new/free/save/load/get_size)
- src/state.cpp — MEMB file format: magic, version, SHA-256 model_id,
  CRC-32, opaque llama_state_*_data() blob
- src/cli.cpp — minimal demo binary with greedy sampler
- CMakeLists.txt + build.sh with llama.cpp submodule, CUDA auto-detect

Python SDK (memba):
- core.py — file I/O via llama-cpp-python's exposed C functions,
  unwraps _LlamaContext to access raw context pointer (≥0.3.x)
- session.py — high-level Session with auto-save/load, ChatML wrapper
  for instruct models, raw mode for base models
- cli.py — typer-based: chat (REPL), run (one-shot), list, rm, info

Examples:
- 01_basic_save_load.py, 02_chat_session.py

Experiments (throwaway POCs documenting product-direction findings):
- recall_poc.py — git log → state → cross-process query
- mood_poc.py — batch sentiment trajectory, Mamba vs Transformer
- mood_stream_poc.py, mood_batch_poc.py — variants
- diag_saveload.py — minimal save/load isolation test
- README.md documents the headline finding: save/load is byte-identical,
  but Falcon-Mamba-7B-Instruct does not retain facts across conversation
  turns even in-process — limits viable products to single-prompt analysis
  and persona priming.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-16 12:48:37 +03:00

190 lines
6.8 KiB
Python

"""
Low-level state I/O — reads/writes the MEMB file format using llama-cpp-python's
exposed C functions directly. No ABI conflict: we reuse the libllama.so that
llama-cpp-python already loaded instead of linking our own copy.
"""
from __future__ import annotations
import ctypes
import hashlib
import struct
import zlib
from pathlib import Path
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from llama_cpp import Llama
# ── File format ───────────────────────────────────────────────────
MAGIC = b"MEMB"
VERSION = 1
MODEL_ID_LEN = 64
# little-endian: 4s magic | I version | 64s model_id | I n_ctx | I llama_ver | Q data_size
_HEADER_FMT = "<4sI64sIIQ"
_HEADER_SIZE = struct.calcsize(_HEADER_FMT) # == 88
# ── Helpers ───────────────────────────────────────────────────────
def compute_model_id(model_path: str) -> bytes:
"""SHA-256 of first 1 KiB of the GGUF file, hex-encoded and zero-padded to 64 bytes."""
h = hashlib.sha256()
try:
with open(model_path, "rb") as f:
h.update(f.read(1024))
except OSError:
h.update(model_path.encode("utf-8", errors="replace"))
digest = h.hexdigest().encode("ascii") # 64 chars exactly for SHA-256 hex
return digest.ljust(MODEL_ID_LEN, b"\x00")[:MODEL_ID_LEN]
def _lib_and_ctx(llama_model: "Llama"):
"""Return (llama_cpp low-level module, raw llama_context_p pointer).
Modern llama-cpp-python (≥0.3) wraps the raw `llama_context*` in a
`_LlamaContext` helper object — the actual ctypes pointer lives one
attribute deeper. Older versions exposed the pointer directly.
"""
try:
from llama_cpp import llama_cpp as lib
except ImportError as e:
raise ImportError("llama-cpp-python is not installed: pip install llama-cpp-python") from e
wrapper = getattr(llama_model, "_ctx", None) or getattr(llama_model, "ctx", None)
if wrapper is None:
raise RuntimeError(
"Cannot find _ctx attribute on Llama instance — unsupported llama-cpp-python version"
)
# If wrapper is already a ctypes pointer (older llama-cpp-python), use directly
if isinstance(wrapper, (int, ctypes.c_void_p)) or hasattr(wrapper, "_type_"):
return lib, wrapper
# Otherwise unwrap one level: `_LlamaContext.ctx` holds the raw pointer
# (may be an int address, ctypes pointer, or c_void_p depending on version)
for attr in ("ctx", "context", "_ctx"):
raw = getattr(wrapper, attr, None)
if raw is not None and (isinstance(raw, (int, ctypes.c_void_p)) or hasattr(raw, "_type_")):
return lib, raw
raise RuntimeError(
f"Could not extract raw llama_context from {type(wrapper).__name__}; "
"your llama-cpp-python version may have changed its internals."
)
def _state_get_size(lib, ctx) -> int:
try:
return lib.llama_state_get_size(ctx) # post-2024 API
except AttributeError:
return lib.llama_get_state_size(ctx) # VERIFY: older API fallback
def _state_get_data(lib, ctx, buf: ctypes.Array, size: int) -> int:
try:
return lib.llama_state_get_data(ctx, buf, size) # post-2024 API
except AttributeError:
return lib.llama_copy_state_data(ctx, buf) # VERIFY: older API fallback
def _state_set_data(lib, ctx, buf: ctypes.Array, size: int) -> int:
try:
return lib.llama_state_set_data(ctx, buf, size) # post-2024 API
except AttributeError:
return lib.llama_set_state_data(ctx, buf) # VERIFY: older API fallback
def _n_ctx(lib, ctx) -> int:
try:
return lib.llama_n_ctx(ctx)
except AttributeError:
return 0
# ── Public API ────────────────────────────────────────────────────
def get_state_size(llama_model: "Llama") -> int:
"""Return the byte size of the current SSM hidden state."""
lib, ctx = _lib_and_ctx(llama_model)
return _state_get_size(lib, ctx)
def save_state(llama_model: "Llama", model_path: str, file_path: str) -> None:
"""Serialise the current SSM state to *file_path* in MEMB format."""
lib, ctx = _lib_and_ctx(llama_model)
size = _state_get_size(lib, ctx)
if size == 0:
raise RuntimeError("llama context returned state size 0 — is it initialised?")
buf = (ctypes.c_uint8 * size)()
written = _state_get_data(lib, ctx, buf, size)
if written == 0:
raise RuntimeError("llama_state_get_data returned 0 bytes")
data = bytes(buf[:written])
crc = zlib.crc32(data) & 0xFFFFFFFF
model_id = compute_model_id(model_path)
n_ctx = _n_ctx(lib, ctx)
header = struct.pack(
_HEADER_FMT,
MAGIC,
VERSION,
model_id,
n_ctx,
0, # llama_ver — reserved
len(data),
)
out = Path(file_path)
out.parent.mkdir(parents=True, exist_ok=True)
out.write_bytes(header + data + struct.pack("<I", crc))
def load_state(llama_model: "Llama", model_path: str, file_path: str) -> None:
"""Restore SSM state from *file_path* into *llama_model*."""
lib, ctx = _lib_and_ctx(llama_model)
expected_model_id = compute_model_id(model_path)
raw = Path(file_path).read_bytes()
if len(raw) < _HEADER_SIZE + 4:
raise ValueError(f"State file too small: {file_path}")
magic, version, file_model_id, n_ctx, llama_ver, data_size = struct.unpack_from(
_HEADER_FMT, raw, 0
)
if magic != MAGIC:
raise ValueError(f"Bad magic: expected {MAGIC!r}, got {magic!r}")
if version != VERSION:
raise ValueError(f"Unsupported state version {version} (expected {VERSION})")
if file_model_id != expected_model_id:
raise ValueError(
"Model identity mismatch — state file was created with a different GGUF.\n"
f" file model_id : {file_model_id.rstrip(b'\\x00').decode()}\n"
f" current model : {expected_model_id.rstrip(b'\\x00').decode()}"
)
offset = _HEADER_SIZE
if len(raw) < offset + data_size + 4:
raise ValueError("Truncated state file")
data = raw[offset : offset + data_size]
stored_crc = struct.unpack_from("<I", raw, offset + data_size)[0]
computed = zlib.crc32(data) & 0xFFFFFFFF
if computed != stored_crc:
raise ValueError(
f"CRC-32 mismatch (stored={stored_crc:#010x}, computed={computed:#010x}) — "
"file may be corrupted"
)
buf = (ctypes.c_uint8 * len(data)).from_buffer_copy(data)
restored = _state_set_data(lib, ctx, buf, len(data))
if restored == 0:
raise RuntimeError("llama_state_set_data returned 0 — state restore failed")