Update README.md

README.md

@@ -6,12 +6,15 @@ model_creator: Mistral AI
 model_name: mistral_7b_magnite_finetuned
 model_type: mistral
 pipeline_tag: text-generation
-prompt_template: '<s>[INST]{prompt} [/INST]
-
-  '
+prompt_template: |
+  <s>[INST]{prompt} [/INST]
 quantized_by: waadarsh
 tags:
 - finetuned
+datasets:
+- waadarsh/magnite-dataset
+language:
+- en
 ---
 
 # Mistral 7B Magnite Finetuned - GGUF
@@ -99,7 +102,7 @@ The following clients/libraries will automatically download models for you, prov
 
 ### In `text-generation-webui`
 
-Under Download Model, you can enter the model repo: TheBloke/Mistral-7B-Instruct-v0.1-GGUF and below it, a specific filename to download, such as: mistral-7b-instruct-v0.1.Q4_K_M.gguf.
+Under Download Model, you can enter the model repo: waadarsh/mistral_7b_magnite_finetuned-GGUF and below it, a specific filename to download, such as: mistral-7b-instruct-v0.1.Q4_K_M.gguf.
 
 Then click Download.
 
@@ -114,7 +117,7 @@ pip3 install huggingface-hub
 Then you can download any individual model file to the current directory, at high speed, with a command like this:
 
 ```shell
-huggingface-cli download TheBloke/Mistral-7B-Instruct-v0.1-GGUF mistral-7b-instruct-v0.1.Q4_K_M.gguf --local-dir . --local-dir-use-symlinks False
+huggingface-cli download waadarsh/mistral_7b_magnite_finetuned-GGUF mistral_7b_magnite_finetuned.Q4_K_M.gguf --local-dir . --local-dir-use-symlinks False
 ```
 
 <details>
@@ -194,7 +197,7 @@ CT_METAL=1 pip install ctransformers --no-binary ctransformers
 from ctransformers import AutoModelForCausalLM
 
 # Set gpu_layers to the number of layers to offload to GPU. Set to 0 if no GPU acceleration is available on your system.
-llm = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-Instruct-v0.1-GGUF", model_file="mistral-7b-instruct-v0.1.Q4_K_M.gguf", model_type="mistral", gpu_layers=50)
+llm = AutoModelForCausalLM.from_pretrained("waadarsh/mistral_7b_magnite_finetuned-GGUF", model_file="mistral_7b_magnite_finetuned.Q4_K_M.gguf", model_type="mistral", gpu_layers=50)
 
 print(llm("AI is going to"))
 ```
@@ -209,4 +212,4 @@ Here are guides on using llama-cpp-python and ctransformers with LangChain:
 <!-- README_GGUF.md-how-to-run end -->
 
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