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Update README.md

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  1. README.md +15 -10
README.md CHANGED
@@ -7,7 +7,6 @@ tags:
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  - merge
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  - computer science
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  - llama-cpp
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- - gguf-my-repo
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  datasets:
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  - open-phi/programming_books_llama
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  - open-phi/textbooks
@@ -39,7 +38,8 @@ model-index:
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  value: 24.57
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  name: normalized accuracy
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  source:
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- url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
 
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  name: Open LLM Leaderboard
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  - task:
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  type: text-generation
@@ -55,7 +55,8 @@ model-index:
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  value: 27.49
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  name: normalized accuracy
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  source:
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- url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
 
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  name: Open LLM Leaderboard
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  - task:
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  type: text-generation
@@ -72,7 +73,8 @@ model-index:
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  value: 23.15
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  name: accuracy
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  source:
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- url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
 
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  name: Open LLM Leaderboard
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  - task:
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  type: text-generation
@@ -88,7 +90,8 @@ model-index:
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  - type: mc2
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  value: 46.72
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  source:
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- url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
 
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  name: Open LLM Leaderboard
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  - task:
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  type: text-generation
@@ -105,7 +108,8 @@ model-index:
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  value: 47.83
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  name: accuracy
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  source:
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- url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
 
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  name: Open LLM Leaderboard
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  - task:
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  type: text-generation
@@ -119,15 +123,16 @@ model-index:
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  num_few_shot: 5
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  metrics:
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  - type: acc
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- value: 0.0
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  name: accuracy
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  source:
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- url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
 
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  name: Open LLM Leaderboard
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  ---
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  # BasedBots/TinyMistral-248M-v2.5-Q4_K_M-GGUF
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- This model was converted to GGUF format from [`Locutusque/TinyMistral-248M-v2.5`](https://huggingface.co/Locutusque/TinyMistral-248M-v2.5) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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  Refer to the [original model card](https://huggingface.co/Locutusque/TinyMistral-248M-v2.5) for more details on the model.
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  ## Use with llama.cpp
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@@ -154,4 +159,4 @@ Note: You can also use this checkpoint directly through the [usage steps](https:
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  ```
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  git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m tinymistral-248m-v2.5.Q4_K_M.gguf -n 128
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- ```
 
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  - merge
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  - computer science
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  - llama-cpp
 
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  datasets:
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  - open-phi/programming_books_llama
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  - open-phi/textbooks
 
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  value: 24.57
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  name: normalized accuracy
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  source:
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+ url: >-
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+ https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
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  name: Open LLM Leaderboard
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  - task:
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  type: text-generation
 
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  value: 27.49
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  name: normalized accuracy
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  source:
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+ url: >-
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+ https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
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  name: Open LLM Leaderboard
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  - task:
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  type: text-generation
 
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  value: 23.15
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  name: accuracy
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  source:
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+ url: >-
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+ https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
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  name: Open LLM Leaderboard
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  - task:
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  type: text-generation
 
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  - type: mc2
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  value: 46.72
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  source:
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+ url: >-
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+ https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
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  name: Open LLM Leaderboard
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  - task:
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  type: text-generation
 
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  value: 47.83
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  name: accuracy
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  source:
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+ url: >-
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+ https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
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  name: Open LLM Leaderboard
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  - task:
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  type: text-generation
 
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  num_few_shot: 5
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  metrics:
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  - type: acc
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+ value: 0
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  name: accuracy
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  source:
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+ url: >-
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+ https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
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  name: Open LLM Leaderboard
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  ---
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  # BasedBots/TinyMistral-248M-v2.5-Q4_K_M-GGUF
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+ This model was converted to GGUF format from [`Locutusque/TinyMistral-248M-v2.5`](https://huggingface.co/Locutusque/TinyMistral-248M-v2.5) using llama.cpp.
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  Refer to the [original model card](https://huggingface.co/Locutusque/TinyMistral-248M-v2.5) for more details on the model.
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  ## Use with llama.cpp
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  ```
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  git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m tinymistral-248m-v2.5.Q4_K_M.gguf -n 128
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+ ```