diff --git a/README.md b/README.md index 18f6d73f..5b1e95c3 100644 --- a/README.md +++ b/README.md @@ -261,7 +261,9 @@ Optionally, you can use the following command-line flags: |-------------|-------------| | `--no-mmap` | Prevent mmap from being used. | | `--mlock` | Force the system to keep the model in RAM. | +| `--mul_mat_q` | Activate new mulmat kernels. | | `--cache-capacity CACHE_CAPACITY` | Maximum cache capacity. Examples: 2000MiB, 2GiB. When provided without units, bytes will be assumed. | +| `--tensor_split TENSOR_SPLIT` | Split the model across multiple GPUs, comma-separated list of proportions, e.g. 18,17 | | `--llama_cpp_seed SEED` | Seed for llama-cpp models. Default 0 (random). | | `--n_gqa N_GQA` | grouped-query attention. Must be 8 for llama-2 70b. | | `--rms_norm_eps RMS_NORM_EPS` | 5e-6 is a good value for llama-2 models. | diff --git a/modules/llamacpp_hf.py b/modules/llamacpp_hf.py index fa0554cd..10c30112 100644 --- a/modules/llamacpp_hf.py +++ b/modules/llamacpp_hf.py @@ -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, diff --git a/modules/llamacpp_model.py b/modules/llamacpp_model.py index f7f4cc9b..28a38de6 100644 --- a/modules/llamacpp_model.py +++ b/modules/llamacpp_model.py @@ -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, diff --git a/modules/loaders.py b/modules/loaders.py index 08a11ac0..7444555f 100644 --- a/modules/loaders.py +++ b/modules/loaders.py @@ -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', diff --git a/modules/shared.py b/modules/shared.py index 88aa8cf2..385b99da 100644 --- a/modules/shared.py +++ b/modules/shared.py @@ -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.') diff --git a/modules/ui.py b/modules/ui.py index a99af375..15f24d85 100644 --- a/modules/ui.py +++ b/modules/ui.py @@ -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', diff --git a/modules/ui_model_menu.py b/modules/ui_model_menu.py index 3059f616..8e24ebdf 100644 --- a/modules/ui_model_menu.py +++ b/modules/ui_model_menu.py @@ -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).') diff --git a/requirements.txt b/requirements.txt index 888dda8b..9a623546 100644 --- a/requirements.txt +++ b/requirements.txt @@ -31,8 +31,8 @@ https://github.com/jllllll/exllama/releases/download/0.0.10/exllama-0.0.10+cu117 https://github.com/jllllll/exllama/releases/download/0.0.10/exllama-0.0.10+cu117-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" # llama-cpp-python without GPU support -llama-cpp-python==0.1.77; platform_system != "Windows" -https://github.com/abetlen/llama-cpp-python/releases/download/v0.1.77/llama_cpp_python-0.1.77-cp310-cp310-win_amd64.whl; platform_system == "Windows" +llama-cpp-python==0.1.78; platform_system != "Windows" +https://github.com/abetlen/llama-cpp-python/releases/download/v0.1.78/llama_cpp_python-0.1.78-cp310-cp310-win_amd64.whl; platform_system == "Windows" # llama-cpp-python with CUDA support https://github.com/jllllll/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.1.77+cu117-cp310-cp310-win_amd64.whl; platform_system == "Windows" https://github.com/jllllll/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.1.77+cu117-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64"