71 Commits

Author	SHA1	Message	Date
oobabooga	9033fa5eee	Organize the Model tab	2024-02-04 19:30:22 -08:00
Forkoz	2a45620c85	Split by rows instead of layers for llama.cpp multi-gpu (#5435)	2024-02-04 23:36:40 -03:00
Badis Ghoubali	3df7e151f7	fix the n_batch slider (#5436)	2024-02-04 18:15:30 -03:00
oobabooga	cde000d478	Remove non-HF ExLlamaV2 loader (#5431)	2024-02-04 01:15:51 -03:00
Forkoz	5c5ef4cef7	UI: change n_gpu_layers maximum to 256 for larger models. (#5262)	2024-01-17 17:13:16 -03:00
oobabooga	cbf6f9e695	Update some UI messages	2023-12-30 21:31:17 -08:00
oobabooga	0e54a09bcb	Remove exllamav1 loaders (#5128)	2023-12-31 01:57:06 -03:00
oobabooga	e83e6cedbe	Organize the model menu	2023-12-19 13:18:26 -08:00
oobabooga	de138b8ba6	Add llama-cpp-python wheels with tensor cores support (#5003)	2023-12-19 17:30:53 -03:00
oobabooga	0a299d5959	Bump llama-cpp-python to 0.2.24 (#5001)	2023-12-19 15:22:21 -03:00
oobabooga	f6d701624c	UI: mention that QuIP# does not work on Windows	2023-12-18 18:05:02 -08:00
Water	674be9a09a	Add HQQ quant loader (#4888) ... --------- Co-authored-by: oobabooga <112222186+oobabooga@users.noreply.github.com>	2023-12-18 21:23:16 -03:00
oobabooga	f1f2c4c3f4	Add --num_experts_per_token parameter (ExLlamav2) (#4955)	2023-12-17 12:08:33 -03:00
oobabooga	3bbf6c601d	AutoGPTQ: Add --disable_exllamav2 flag (Mixtral CPU offloading needs this)	2023-12-15 06:46:13 -08:00
oobabooga	7f1a6a70e3	Update the llamacpp_HF comment	2023-12-12 21:04:20 -08:00
Morgan Schweers	602b8c6210	Make new browser reloads recognize current model. (#4865)	2023-12-11 02:51:01 -03:00
oobabooga	2a335b8aa7	Cleanup: set shared.model_name only once	2023-12-08 06:35:23 -08:00
oobabooga	7fc9033b2e	Recommend ExLlama_HF and ExLlamav2_HF	2023-12-04 15:28:46 -08:00
oobabooga	e0ca49ed9c	Bump llama-cpp-python to 0.2.18 (2nd attempt) (#4637) ... * Update requirements*.txt * Add back seed	2023-11-18 00:31:27 -03:00
oobabooga	9d6f79db74	Revert "Bump llama-cpp-python to 0.2.18 (#4611)" ... This reverts commit 923c8e25fb.	2023-11-17 05:14:25 -08:00
oobabooga	8b66d83aa9	Set use_fast=True by default, create --no_use_fast flag ... This increases tokens/second for HF loaders.	2023-11-16 19:55:28 -08:00
oobabooga	923c8e25fb	Bump llama-cpp-python to 0.2.18 (#4611)	2023-11-16 22:55:14 -03:00
oobabooga	cd41f8912b	Warn users about n_ctx / max_seq_len	2023-11-15 18:56:42 -08:00
oobabooga	af3d25a503	Disable logits_all in llamacpp_HF (makes processing 3x faster)	2023-11-07 14:35:48 -08:00
oobabooga	ec17a5d2b7	Make OpenAI API the default API (#4430)	2023-11-06 02:38:29 -03:00
feng lui	4766a57352	transformers: add use_flash_attention_2 option (#4373)	2023-11-04 13:59:33 -03:00
wouter van der plas	add359379e	fixed two links in the ui (#4452)	2023-11-04 13:41:42 -03:00
oobabooga	45fcb60e7a	Make truncation_length_max apply to max_seq_len/n_ctx	2023-11-03 11:29:31 -07:00
oobabooga	fcb7017b7a	Remove a checkbox	2023-11-02 12:24:09 -07:00
Julien Chaumond	fdcaa955e3	transformers: Add a flag to force load from safetensors (#4450)	2023-11-02 16:20:54 -03:00
oobabooga	c0655475ae	Add cache_8bit option	2023-11-02 11:23:04 -07:00
Mehran Ziadloo	aaf726dbfb	Updating the shared settings object when loading a model (#4425)	2023-11-01 01:29:57 -03:00
Abhilash Majumder	778a010df8	Intel Gpu support initialization (#4340)	2023-10-26 23:39:51 -03:00
oobabooga	92691ee626	Disable trust_remote_code by default	2023-10-23 09:57:44 -07:00
oobabooga	df90d03e0b	Replace --mul_mat_q with --no_mul_mat_q	2023-10-22 12:23:03 -07:00
oobabooga	773c17faec	Fix a warning	2023-10-10 20:53:38 -07:00
oobabooga	3a9d90c3a1	Download models with 4 threads by default	2023-10-10 13:52:10 -07:00
cal066	cc632c3f33	AutoAWQ: initial support (#3999)	2023-10-05 13:19:18 -03:00
oobabooga	b6fe6acf88	Add threads_batch parameter	2023-10-01 21:28:00 -07:00
jllllll	41a2de96e5	Bump llama-cpp-python to 0.2.11	2023-10-01 18:08:10 -05:00
oobabooga	f2d82f731a	Add recommended NTKv1 alpha values	2023-09-29 13:48:38 -07:00
oobabooga	96da2e1c0d	Read more metadata (config.json & quantize_config.json)	2023-09-29 06:14:16 -07:00
oobabooga	f931184b53	Increase truncation limits to 32768	2023-09-28 19:28:22 -07:00
StoyanStAtanasov	7e6ff8d1f0	Enable NUMA feature for llama_cpp_python (#4040)	2023-09-26 22:05:00 -03:00
oobabooga	1ca54faaf0	Improve --multi-user mode	2023-09-26 06:42:33 -07:00
oobabooga	d0d221df49	Add --use_fast option (closes #3741)	2023-09-25 12:19:43 -07:00
oobabooga	b973b91d73	Automatically filter by loader (closes #4072)	2023-09-25 10:28:35 -07:00
oobabooga	36c38d7561	Add disable_exllama to Transformers loader (for GPTQ LoRA training)	2023-09-24 20:03:11 -07:00
oobabooga	7a3ca2c68f	Better detect EXL2 models	2023-09-23 13:05:55 -07:00
oobabooga	37e2980e05	Recommend mul_mat_q for llama.cpp	2023-09-17 08:27:11 -07:00