nodes/Zuellni-ComfyUI-ExLlama-Nodes
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Add autosplit, temperature_last

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Zuellni
2023-11-22 14:15:00 +01:00
parent 957fe3e6a5
commit 51ff962f14
1 changed files with 23 additions and 13 deletions
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exllama.py
+23 -13
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@@ -34,6 +34,7 @@ class Loader:
self.generator = None self.generator = None
self.gpu_split = None self.gpu_split = None
self.cache_8bit = False self.cache_8bit = False
self.cache_lazy = False
def process(self, model_dir, gpu_split, cache_8bit, max_seq_len): def process(self, model_dir, gpu_split, cache_8bit, max_seq_len):
self.unload() self.unload()
@@ -41,7 +42,9 @@ class Loader:
self.config.model_dir = model_dir self.config.model_dir = model_dir
self.config.prepare() self.config.prepare()
if gpu_split: if gpu_split == "auto":
self.cache_lazy = True
elif gpu_split:
self.gpu_split = [float(a) for a in gpu_split.split(",")] self.gpu_split = [float(a) for a in gpu_split.split(",")]
if max_seq_len: if max_seq_len:
@@ -57,12 +60,16 @@ class Loader:
return return
self.base = ExLlamaV2(self.config) self.base = ExLlamaV2(self.config)
self.base.load(gpu_split=self.gpu_split)
if self.cache_8bit: if self.cache_8bit:
self.cache = ExLlamaV2Cache_8bit(self.base) self.cache = ExLlamaV2Cache_8bit(self.base, lazy=self.cache_lazy)
else: else:
self.cache = ExLlamaV2Cache(self.base) self.cache = ExLlamaV2Cache(self.base, lazy=self.cache_lazy)
if self.cache_lazy:
self.base.load_autosplit(self.cache)
else:
self.base.load(gpu_split=self.gpu_split)
self.tokenizer = ExLlamaV2Tokenizer(self.config) self.tokenizer = ExLlamaV2Tokenizer(self.config)
self.generator = ExLlamaV2StreamingGenerator(self.base, self.cache, self.tokenizer) self.generator = ExLlamaV2StreamingGenerator(self.base, self.cache, self.tokenizer)
@@ -87,11 +94,12 @@ class Generator:
"single_line": ("BOOLEAN", {"default": False}), "single_line": ("BOOLEAN", {"default": False}),
"max_tokens": ("INT", {"default": 128, "max": 2**16}), "max_tokens": ("INT", {"default": 128, "max": 2**16}),
"temperature": ("FLOAT", {"default": 1, "max": 2, "step": 0.01}), "temperature": ("FLOAT", {"default": 1, "max": 2, "step": 0.01}),
"temperature_last": ("BOOLEAN", {"default": True}),
"min_p": ("FLOAT", {"default": 0.1, "max": 1, "step": 0.01}), "min_p": ("FLOAT", {"default": 0.1, "max": 1, "step": 0.01}),
"top_k": ("INT", {"max": 200}),
"top_p": ("FLOAT", {"default": 1, "max": 1, "step": 0.01}), "top_p": ("FLOAT", {"default": 1, "max": 1, "step": 0.01}),
"typical": ("FLOAT", {"default": 1, "max": 1, "step": 0.01}), "typical_p": ("FLOAT", {"default": 1, "max": 1, "step": 0.01}),
"penalty": ("FLOAT", {"default": 1, "min": 1, "max": 2, "step": 0.01}), "top_k": ("INT", {"max": 200}),
"rep_penalty": ("FLOAT", {"default": 1, "min": 1, "max": 2, "step": 0.01}),
"seed": ("INT", {"max": 2**64 - 1}), "seed": ("INT", {"max": 2**64 - 1}),
"text": ("STRING", {"multiline": True}), "text": ("STRING", {"multiline": True}),
}, },
@@ -113,11 +121,12 @@ class Generator:
single_line, single_line,
max_tokens, max_tokens,
temperature, temperature,
temperature_last,
min_p, min_p,
top_k,
top_p, top_p,
typical, typical_p,
penalty, top_k,
rep_penalty,
seed, seed,
text, text,
info=None, info=None,
@@ -144,11 +153,12 @@ class Generator:
settings = ExLlamaV2Sampler.Settings() settings = ExLlamaV2Sampler.Settings()
settings.temperature = temperature settings.temperature = temperature
settings.temperature_last = temperature_last
settings.min_p = min_p settings.min_p = min_p
settings.top_k = top_k
settings.top_p = top_p settings.top_p = top_p
settings.typical = typical settings.typical = typical_p
settings.token_repetition_penalty = penalty settings.top_k = top_k
settings.token_repetition_penalty = rep_penalty
model.generator.begin_stream(input, settings, token_healing=True) model.generator.begin_stream(input, settings, token_healing=True)
progress = ProgressBar(max_tokens) progress = ProgressBar(max_tokens)