diff --git a/modules/logits.py b/modules/logits.py
index c5d9112d..020e7424 100644
--- a/modules/logits.py
+++ b/modules/logits.py
@@ -65,10 +65,8 @@ def _get_next_logits(prompt, state, use_samplers, previous, top_logits=25, retur
 
         if use_samplers:
             if is_non_hf_exllamav2:
+                # sampling is all done in C++ for exllama, so it is really hard to hijack
                 logger.error("Sampler hijacking is not supported non-Huggingface loaders.")
-                # sampling is all done in c for exllama, so it is really hard to hijack
-                # it should be possible to hijack llamacpp sampler by hijacking all their sampling methods,
-                # but it is not implemented yet
                 return 'Error: Sampler hijacking is not supported non-Huggingface loaders. Please disable the "Use samplers" option.', previous
 
             state['max_new_tokens'] = 1
diff --git a/modules/shared.py b/modules/shared.py
index 60760423..641b3f48 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -220,7 +220,7 @@ def fix_loader_name(name):
         return name
 
     name = name.lower()
-    if name in ['llamacpp', 'llama.cpp', 'llama-cpp', 'llama cpp']:
+    if name in ['llama.cpp', 'llamacpp', 'llama-cpp', 'llama cpp']:
         return 'llama.cpp'
     elif name in ['transformers', 'huggingface', 'hf', 'hugging_face', 'hugging face']:
         return 'Transformers'
diff --git a/modules/ui_model_menu.py b/modules/ui_model_menu.py
index cdc0e77c..8db48621 100644
--- a/modules/ui_model_menu.py
+++ b/modules/ui_model_menu.py
@@ -127,7 +127,6 @@ def create_ui():
                             shared.gradio['cpp_runner'] = gr.Checkbox(label="cpp-runner", value=shared.args.cpp_runner, info='Enable inference with ModelRunnerCpp, which is faster than the default ModelRunner.')
                             shared.gradio['trust_remote_code'] = gr.Checkbox(label="trust-remote-code", value=shared.args.trust_remote_code, info='Set trust_remote_code=True while loading the tokenizer/model. To enable this option, start the web UI with the --trust-remote-code flag.', interactive=shared.args.trust_remote_code)
                             shared.gradio['no_use_fast'] = gr.Checkbox(label="no_use_fast", value=shared.args.no_use_fast, info='Set use_fast=False while loading the tokenizer.')
-                            shared.gradio['llamacpp_HF_info'] = gr.Markdown("llamacpp_HF loads llama.cpp as a Transformers model. To use it, you need to place your GGUF in a subfolder of models/ with the necessary tokenizer files.\n\nYou can use the \"llamacpp_HF creator\" menu to do that automatically.")
                             shared.gradio['exllamav2_info'] = gr.Markdown("ExLlamav2_HF is recommended over ExLlamav2 for better integration with extensions and more consistent sampling behavior across loaders.")
                             shared.gradio['tensorrt_llm_info'] = gr.Markdown('* TensorRT-LLM has to be installed manually in a separate Python 3.10 environment at the moment. For a guide, consult the description of [this PR](https://github.com/oobabooga/text-generation-webui/pull/5715). \n\n* `max_seq_len` is only used when `cpp-runner` is checked.\n\n* `cpp_runner` does not support streaming at the moment.')