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Bump llama-cpp-python, +tensor_split by @shouyiwang, +mul_mat_q (#3610)

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oobabooga 2023-08-18 12:03:34 -03:00 • committed by GitHub
parent 4b69f4f6ae
commit 7cba000421
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8 changed files with 31 additions and 2 deletions
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8
modules/llamacpp_hf.py
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@ -102,6 +102,12 @@ class LlamacppHF(PreTrainedModel):
model_file = list(path.glob('*ggml*.bin'))[0]
logger.info(f"llama.cpp weights detected: {model_file}\n")
if shared.args.tensor_split is None or shared.args.tensor_split.strip() == '':
tensor_split_list = None
else:
tensor_split_list = [float(x) for x in shared.args.tensor_split.strip().split(",")]
params = {
'model_path': str(model_file),
'n_ctx': shared.args.n_ctx,
@ -110,9 +116,11 @@ class LlamacppHF(PreTrainedModel):
'n_batch': shared.args.n_batch,
'use_mmap': not shared.args.no_mmap,
'use_mlock': shared.args.mlock,
'mul_mat_q': shared.args.mul_mat_q,
'low_vram': shared.args.low_vram,
'n_gpu_layers': shared.args.n_gpu_layers,
'rope_freq_base': 10000 * shared.args.alpha_value ** (64 / 63.),
'tensor_split': tensor_split_list,
'rope_freq_scale': 1.0 / shared.args.compress_pos_emb,
'n_gqa': shared.args.n_gqa or None,
'rms_norm_eps': shared.args.rms_norm_eps or None,

8
modules/llamacpp_model.py
View file

@ -55,6 +55,12 @@ class LlamaCppModel:
cache_capacity = int(shared.args.cache_capacity)
logger.info("Cache capacity is " + str(cache_capacity) + " bytes")
if shared.args.tensor_split is None or shared.args.tensor_split.strip() == '':
tensor_split_list = None
else:
tensor_split_list = [float(x) for x in shared.args.tensor_split.strip().split(",")]
params = {
'model_path': str(path),
'n_ctx': shared.args.n_ctx,
@ -63,9 +69,11 @@ class LlamaCppModel:
'n_batch': shared.args.n_batch,
'use_mmap': not shared.args.no_mmap,
'use_mlock': shared.args.mlock,
'mul_mat_q': shared.args.mul_mat_q,
'low_vram': shared.args.low_vram,
'n_gpu_layers': shared.args.n_gpu_layers,
'rope_freq_base': 10000 * shared.args.alpha_value ** (64 / 63.),
'tensor_split': tensor_split_list,
'rope_freq_scale': 1.0 / shared.args.compress_pos_emb,
'n_gqa': shared.args.n_gqa or None,
'rms_norm_eps': shared.args.rms_norm_eps or None,

4
modules/loaders.py
View file

@ -67,11 +67,13 @@ loaders_and_params = OrderedDict({
'n_gqa',
'rms_norm_eps',
'n_gpu_layers',
'tensor_split',
'n_batch',
'threads',
'no_mmap',
'low_vram',
'mlock',
'mul_mat_q',
'llama_cpp_seed',
'alpha_value',
'compress_pos_emb',
@ -82,11 +84,13 @@ loaders_and_params = OrderedDict({
'n_gqa',
'rms_norm_eps',
'n_gpu_layers',
'tensor_split',
'n_batch',
'threads',
'no_mmap',
'low_vram',
'mlock',
'mul_mat_q',
'alpha_value',
'compress_pos_emb',
'cpu',

2
modules/shared.py
View file

@ -119,8 +119,10 @@ parser.add_argument('--n_batch', type=int, default=512, help='Maximum number of
parser.add_argument('--no-mmap', action='store_true', help='Prevent mmap from being used.')
parser.add_argument('--low-vram', action='store_true', help='Low VRAM Mode')
parser.add_argument('--mlock', action='store_true', help='Force the system to keep the model in RAM.')
parser.add_argument('--mul_mat_q', action='store_true', help='Activate new mulmat kernels.')
parser.add_argument('--cache-capacity', type=str, help='Maximum cache capacity. Examples: 2000MiB, 2GiB. When provided without units, bytes will be assumed.')
parser.add_argument('--n-gpu-layers', type=int, default=0, help='Number of layers to offload to the GPU.')
parser.add_argument('--tensor_split', type=str, default=None, help="Split the model across multiple GPUs, comma-separated list of proportions, e.g. 18,17")
parser.add_argument('--n_ctx', type=int, default=2048, help='Size of the prompt context.')
parser.add_argument('--llama_cpp_seed', type=int, default=0, help='Seed for llama-cpp models. Default 0 (random)')
parser.add_argument('--n_gqa', type=int, default=0, help='grouped-query attention. Must be 8 for llama-2 70b.')

2
modules/ui.py
View file

@ -68,7 +68,9 @@ def list_model_elements():
'no_mmap',
'low_vram',
'mlock',
'mul_mat_q',
'n_gpu_layers',
'tensor_split',
'n_ctx',
'n_gqa',
'rms_norm_eps',

3
modules/ui_model_menu.py
View file

@ -33,6 +33,7 @@ def create_ui():
default_gpu_mem.append(int(re.sub('[a-zA-Z ]', '', i)))
else:
default_gpu_mem.append(int(re.sub('[a-zA-Z ]', '', i)) * 1000)
while len(default_gpu_mem) < len(total_mem):
default_gpu_mem.append(0)
@ -109,6 +110,8 @@ def create_ui():
shared.gradio['no_mmap'] = gr.Checkbox(label="no-mmap", value=shared.args.no_mmap)
shared.gradio['low_vram'] = gr.Checkbox(label="low-vram", value=shared.args.low_vram)
shared.gradio['mlock'] = gr.Checkbox(label="mlock", value=shared.args.mlock)
shared.gradio['mul_mat_q'] = gr.Checkbox(label="mul_mat_q", value=shared.args.mul_mat_q)
shared.gradio['tensor_split'] = gr.Textbox(label='tensor_split', info='Split the model across multiple GPUs, comma-separated list of proportions, e.g. 18,17')
shared.gradio['llama_cpp_seed'] = gr.Number(label='Seed (0 for random)', value=shared.args.llama_cpp_seed)
shared.gradio['trust_remote_code'] = gr.Checkbox(label="trust-remote-code", value=shared.args.trust_remote_code, info='Make sure to inspect the .py files inside the model folder before loading it with this option enabled.')
shared.gradio['gptq_for_llama_info'] = gr.Markdown('GPTQ-for-LLaMa support is currently only kept for compatibility with older GPUs. AutoGPTQ or ExLlama is preferred when compatible. GPTQ-for-LLaMa is installed by default with the webui on supported systems. Otherwise, it has to be installed manually following the instructions here: [instructions](https://github.com/oobabooga/text-generation-webui/blob/main/docs/GPTQ-models-(4-bit-mode).md#installation-1).')