Update docs

docs/Generation-parameters.md

@@ -1,35 +0,0 @@
-# Generation parameters
-
-For a description of the generation parameters provided by the transformers library, see this link: https://huggingface.co/docs/transformers/main_classes/text_generation#transformers.GenerationConfig
-
-### llama.cpp
-
-llama.cpp only uses the following parameters:
-
-* temperature
-* top_p
-* top_k
-* repetition_penalty
-* tfs
-* mirostat_mode
-* mirostat_tau
-* mirostat_eta
-
-### ExLlama
-
-ExLlama only uses the following parameters:
-
-* temperature
-* top_p
-* top_k
-* repetition_penalty
-* repetition_penalty_range
-* typical_p
-
-### RWKV
-
-RWKV only uses the following parameters when loaded through the old .pth weights:
-
-* temperature
-* top_p
-* top_k

docs/README.md

@@ -8,7 +8,6 @@
 * [Docker](Docker.md)
 * [ExLlama](ExLlama.md)
 * [Extensions](Extensions.md)
-* [Generation parameters](Generation-parameters.md)
 * [GPTQ models (4 bit mode)](GPTQ-models-(4-bit-mode).md)
 * [LLaMA model](LLaMA-model.md)
 * [llama.cpp](llama.cpp.md)

server.py

@@ -357,8 +357,6 @@ def create_settings_menus(default_preset):
             with gr.Accordion("Learn more", open=False):
                 gr.Markdown("""
 
-    Not all parameters are used by all loaders. See [this page](https://github.com/oobabooga/text-generation-webui/blob/main/docs/Generation-parameters.md) for details.
-
     For a technical description of the parameters, the [transformers documentation](https://huggingface.co/docs/transformers/main_classes/text_generation#transformers.GenerationConfig) is a good reference.
 
     The best presets, according to the [Preset Arena](https://github.com/oobabooga/oobabooga.github.io/blob/main/arena/results.md) experiment, are: