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Han-Solo commited on
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37dfde6
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1 Parent(s): b0eec63

updated zerogpu llama version

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Files changed (7) hide show
  1. .gitignore +2 -0
  2. AGENTS.md +2 -0
  3. app.py +11 -0
  4. engine/runtime.py +80 -28
  5. pyproject.toml +1 -0
  6. requirements.txt +2 -1
  7. uv.lock +132 -0
.gitignore CHANGED
@@ -5,3 +5,5 @@ models/
5
  .gradio/
6
  *.gguf
7
  .pytest_cache/
 
 
 
5
  .gradio/
6
  *.gguf
7
  .pytest_cache/
8
+ .claude
9
+ .codex
AGENTS.md CHANGED
@@ -27,6 +27,8 @@ Use Python 3.11+ locally. Follow existing style: 4-space indentation, type-frien
27
 
28
  Name tests as `test_<behavior>` and keep fakes close to the tests that use them. YAML character files should use stable lowercase IDs, for example `characters/clerk.yaml`.
29
 
 
 
30
  ## Testing Guidelines
31
 
32
  The project uses `pytest`, configured in `pyproject.toml` with `testpaths = ["tests"]`. Add or update tests when changing parsing, state transitions, grammar keys, character schema rendering, or conversation flow. Prefer fake runtimes so tests never require model downloads or inference.
 
27
 
28
  Name tests as `test_<behavior>` and keep fakes close to the tests that use them. YAML character files should use stable lowercase IDs, for example `characters/clerk.yaml`.
29
 
30
+ *COMMENTS* comment like a senior tech lead. no over narration.
31
+
32
  ## Testing Guidelines
33
 
34
  The project uses `pytest`, configured in `pyproject.toml` with `testpaths = ["tests"]`. Add or update tests when changing parsing, state transitions, grammar keys, character schema rendering, or conversation flow. Prefer fake runtimes so tests never require model downloads or inference.
app.py CHANGED
@@ -103,6 +103,17 @@ SYSTEM_PROMPT = CHARACTER.render_system_prompt()
103
  _RUNTIME = None # lazily loaded so the UI can start before the model loads
104
  _IS_FAKE = False
105
 
 
 
 
 
 
 
 
 
 
 
 
106
 
107
  def get_runtime():
108
  global _RUNTIME, _IS_FAKE
 
103
  _RUNTIME = None # lazily loaded so the UI can start before the model loads
104
  _IS_FAKE = False
105
 
106
+ # On a ZeroGPU Space, import the runtime module now (at startup) so its module-level
107
+ # @spaces.GPU function is decorated before ZeroGPU's startup scan runs -- otherwise the
108
+ # Space dies with "No @spaces.GPU function detected during startup". The import is cheap
109
+ # (llama_cpp loads lazily inside the GPU call); the model still downloads/loads on the
110
+ # first turn, so the UI comes up immediately. Skipped off-Space to keep dev dep-free.
111
+ if _on_zerogpu():
112
+ os.environ.setdefault(
113
+ "SECOND_DEGREE_GPU_DURATION", str(CFG["model"].get("gpu_duration", 120))
114
+ )
115
+ from engine import runtime as _runtime # noqa: F401 (registers @spaces.GPU at import)
116
+
117
 
118
  def get_runtime():
119
  global _RUNTIME, _IS_FAKE
engine/runtime.py CHANGED
@@ -16,6 +16,8 @@ change.
16
 
17
  from __future__ import annotations
18
 
 
 
19
  # The model's `<state>` block ends a generation; we stop on it for speed, then
20
  # restore the tag so the parser regex still matches. Shared by both runtimes.
21
  STOP = ["</state>"]
@@ -27,6 +29,64 @@ def _finalize(text: str) -> str:
27
  return text
28
 
29
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
30
  class LlamaRuntime:
31
  def __init__(
32
  self,
@@ -66,7 +126,12 @@ class LlamaRuntime:
66
 
67
 
68
  class ZeroGpuLlamaRuntime:
69
- """llama.cpp on HF Spaces ZeroGPU: build the model inside `@spaces.GPU`.
 
 
 
 
 
70
 
71
  A real GPU is attached only for the duration of the decorated call, so the
72
  `Llama` object is constructed per turn with all layers offloaded. Slower per
@@ -81,34 +146,21 @@ class ZeroGpuLlamaRuntime:
81
  temperature: float = 0.8,
82
  max_tokens: int = 220,
83
  flash_attn: bool = True,
84
- duration: int = 120,
85
  ):
86
- import spaces # only present on the Space; effect-free elsewhere
87
-
88
  self.model_path = model_path
89
-
90
- @spaces.GPU(duration=duration)
91
- def _gpu_chat(messages: list[dict], grammar: str) -> str:
92
- from llama_cpp import Llama, LlamaGrammar
93
-
94
- llm = Llama(
95
- model_path=model_path,
96
- n_gpu_layers=-1, # offload everything to the attached GPU
97
- n_ctx=n_ctx,
98
- flash_attn=flash_attn,
99
- verbose=False,
100
- )
101
- compiled = LlamaGrammar.from_string(grammar, verbose=False)
102
- result = llm.create_chat_completion(
103
- messages=messages,
104
- grammar=compiled,
105
- temperature=temperature,
106
- max_tokens=max_tokens,
107
- stop=STOP,
108
- )
109
- return _finalize(result["choices"][0]["message"]["content"])
110
-
111
- self._gpu_chat = _gpu_chat
112
 
113
  def chat(self, messages: list[dict], grammar: str) -> str:
114
- return self._gpu_chat(messages, grammar)
 
 
 
 
 
 
 
 
 
16
 
17
  from __future__ import annotations
18
 
19
+ import os
20
+
21
  # The model's `<state>` block ends a generation; we stop on it for speed, then
22
  # restore the tag so the parser regex still matches. Shared by both runtimes.
23
  STOP = ["</state>"]
 
29
  return text
30
 
31
 
32
+ # --- ZeroGPU entrypoint -----------------------------------------------------
33
+ # ZeroGPU requires at least one @spaces.GPU function to be DECORATED AT STARTUP
34
+ # (i.e. at import time). Decorating lazily on the first request fails with
35
+ # "No @spaces.GPU function detected during startup", and a function decorated after
36
+ # startup never actually receives a GPU. So the GPU entrypoint lives at module scope
37
+ # and is decorated when this module is imported -- app.py imports the module eagerly
38
+ # on a Space (see `_on_zerogpu`) to make that happen before ZeroGPU's startup scan.
39
+ #
40
+ # `spaces` is imported unconditionally: off a ZeroGPU Space it is a true no-op
41
+ # (@spaces.GPU returns the function unchanged), so no try/except shim is needed --
42
+ # we just declare `spaces` as a dependency so it's installed in local dev too.
43
+ import spaces
44
+
45
+
46
+ def _gpu_duration() -> int:
47
+ try:
48
+ return int(os.environ.get("SECOND_DEGREE_GPU_DURATION", "120"))
49
+ except ValueError:
50
+ return 120
51
+
52
+
53
+ @spaces.GPU(duration=_gpu_duration())
54
+ def _zerogpu_chat(
55
+ model_path: str,
56
+ messages: list[dict],
57
+ grammar: str,
58
+ n_ctx: int,
59
+ temperature: float,
60
+ max_tokens: int,
61
+ flash_attn: bool,
62
+ ) -> str:
63
+ """Build the model on the GPU attached for this call and generate one turn.
64
+
65
+ A real GPU exists only inside this @spaces.GPU function, so the `Llama` object is
66
+ constructed per call with all layers offloaded -- the llama.cpp maintainer's
67
+ documented ZeroGPU pattern. Correct because `conversation.respond` rebuilds the
68
+ full prompt each turn and keeps no conversation state in the runtime.
69
+ """
70
+ from llama_cpp import Llama, LlamaGrammar
71
+
72
+ llm = Llama(
73
+ model_path=model_path,
74
+ n_gpu_layers=-1, # offload everything to the attached GPU
75
+ n_ctx=n_ctx,
76
+ flash_attn=flash_attn,
77
+ verbose=False,
78
+ )
79
+ compiled = LlamaGrammar.from_string(grammar, verbose=False)
80
+ result = llm.create_chat_completion(
81
+ messages=messages,
82
+ grammar=compiled,
83
+ temperature=temperature,
84
+ max_tokens=max_tokens,
85
+ stop=STOP,
86
+ )
87
+ return _finalize(result["choices"][0]["message"]["content"])
88
+
89
+
90
  class LlamaRuntime:
91
  def __init__(
92
  self,
 
126
 
127
 
128
  class ZeroGpuLlamaRuntime:
129
+ """llama.cpp on HF Spaces ZeroGPU: a thin wrapper over the module-level
130
+ `@spaces.GPU` entrypoint `_zerogpu_chat`.
131
+
132
+ The decorated function must be registered at startup (see the note above
133
+ `_zerogpu_chat`), so it lives at module scope rather than being built here.
134
+ This class just holds the per-Space config and forwards each turn to it.
135
 
136
  A real GPU is attached only for the duration of the decorated call, so the
137
  `Llama` object is constructed per turn with all layers offloaded. Slower per
 
146
  temperature: float = 0.8,
147
  max_tokens: int = 220,
148
  flash_attn: bool = True,
149
+ duration: int = 120, # honored via SECOND_DEGREE_GPU_DURATION at decoration
150
  ):
 
 
151
  self.model_path = model_path
152
+ self.n_ctx = n_ctx
153
+ self.temperature = temperature
154
+ self.max_tokens = max_tokens
155
+ self.flash_attn = flash_attn
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
156
 
157
  def chat(self, messages: list[dict], grammar: str) -> str:
158
+ return _zerogpu_chat(
159
+ self.model_path,
160
+ messages,
161
+ grammar,
162
+ self.n_ctx,
163
+ self.temperature,
164
+ self.max_tokens,
165
+ self.flash_attn,
166
+ )
pyproject.toml CHANGED
@@ -9,6 +9,7 @@ dependencies = [
9
  "llama-cpp-python>=0.3",
10
  "pyyaml>=6.0",
11
  "huggingface-hub>=1.0",
 
12
  ]
13
 
14
  [dependency-groups]
 
9
  "llama-cpp-python>=0.3",
10
  "pyyaml>=6.0",
11
  "huggingface-hub>=1.0",
12
+ "spaces", # HF ZeroGPU; no-op off-Space. Kept out of requirements.txt (the Space pins it).
13
  ]
14
 
15
  [dependency-groups]
requirements.txt CHANGED
@@ -4,11 +4,12 @@
4
  # PREBUILT llama-cpp-python wheel so the Space doesn't spend minutes compiling CUDA.
5
  # Requires the Space to use Python 3.12 (set in README frontmatter).
6
 
 
 
7
  gradio>=6.0
8
  pyyaml>=6.0
9
  huggingface-hub>=1.0
10
  hf_transfer
11
- spaces
12
 
13
  --extra-index-url https://download.pytorch.org/whl/cu128
14
  torch==2.8.0
 
4
  # PREBUILT llama-cpp-python wheel so the Space doesn't spend minutes compiling CUDA.
5
  # Requires the Space to use Python 3.12 (set in README frontmatter).
6
 
7
+ # NOTE: `spaces` is intentionally omitted -- the ZeroGPU base image pins its own
8
+ # version, and listing it here can break pip's resolution at build time.
9
  gradio>=6.0
10
  pyyaml>=6.0
11
  huggingface-hub>=1.0
12
  hf_transfer
 
13
 
14
  --extra-index-url https://download.pytorch.org/whl/cu128
15
  torch==2.8.0
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158
  ]
159
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
160
  [[package]]
161
  name = "click"
162
  version = "8.4.1"
@@ -1073,6 +1162,21 @@ wheels = [
1073
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1074
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1075
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1076
  [[package]]
1077
  name = "rich"
1078
  version = "15.0.0"
@@ -1107,6 +1211,7 @@ dependencies = [
1107
  { name = "huggingface-hub" },
1108
  { name = "llama-cpp-python" },
1109
  { name = "pyyaml" },
 
1110
  ]
1111
 
1112
  [package.dev-dependencies]
@@ -1120,6 +1225,7 @@ requires-dist = [
1120
  { name = "huggingface-hub", specifier = ">=1.0" },
1121
  { name = "llama-cpp-python", specifier = ">=0.3" },
1122
  { name = "pyyaml", specifier = ">=6.0" },
 
1123
  ]
1124
 
1125
  [package.metadata.requires-dev]
@@ -1152,6 +1258,23 @@ wheels = [
1152
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1153
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1154
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1155
  [[package]]
1156
  name = "starlette"
1157
  version = "1.2.1"
@@ -1231,6 +1354,15 @@ wheels = [
1231
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1232
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1233
 
 
 
 
 
 
 
 
 
 
1234
  [[package]]
1235
  name = "uvicorn"
1236
  version = "0.49.0"
 
157
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158
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159
 
160
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161
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162
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163
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1225
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