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Model: Felladrin/Smol-Llama-101M-Chat-v1
Source: Original Platform

README.md

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+---
+language:
+- en
+license: apache-2.0
+tags:
+- text-generation
+base_model: BEE-spoke-data/smol_llama-101M-GQA
+datasets:
+- Open-Orca/SlimOrca-Dedup
+- VMware/open-instruct
+- LDJnr/Capybara
+- cognitivecomputations/ultrachat-uncensored
+- starfishmedical/webGPT_x_dolly
+- THUDM/webglm-qa
+widget:
+  - messages:
+      - role: system
+        content: You are a helpful assistant who gives creative responses.
+      - role: user
+        content: Write the background story of a game about wizards and llamas in a sci-fi world.
+  - messages:
+      - role: system
+        content: A friendly chat between a user and an assistant.
+      - role: user
+        content: Got a question for you!
+      - role: assistant
+        content: "Sure! What's it?"
+      - role: user
+        content: I need to build a simple website. Where should I start learning about web development?
+  - messages:
+      - role: system
+        content: "You are a helpful assistant who provides concise answers to the user's questions."
+      - role: user
+        content: How to become more healthy?
+  - messages:
+      - role: system
+        content: You are a helpful assistant, who always answers with empathy.
+      - role: user
+        content: List the pros and cons of social media.
+  - messages:
+      - role: system
+        content: You are a helpful assistant, who always answers with empathy.
+      - role: user
+        content: Hello!
+      - role: assistant
+        content: Hi! How can I help you today?
+      - role: user
+        content: 'Take a look at the info below.
+
+          - The tape inside the VHS cassettes is very delicate and can be easily ruined,
+          making them unplayable and unrepairable. The reason the tape deteriorates is that
+          the magnetic charge needed for them to work is not permanent, and the magnetic
+          particles end up losing their charge in a process known as remanence decay. These
+          particles could also become demagnetised via being stored too close to a magnetic
+          source.
+      
+          - One of the most significant issues with VHS tapes is that they have moving parts,
+          meaning that there are more occasions when something can go wrong, damaging your
+          footage or preventing it from playing back. The tape itself is a prominent cause
+          of this, and tape slippage can occur. Tapes slippage can be caused when the tape
+          loses its tension, or it has become warped. These problems can occur in storage
+          due to high temperatures or frequent changes in humidity.
+      
+          - VHS tapes deteriorate over time from infrequent or overuse. Neglect means mold
+          and dirt, while overuse can lead to scratches and technical difficulties. This
+          is why old VHS tapes inevitably experience malfunctions after a long period of
+          time. Usually anywhere between 10 to 25+ years.
+      
+          - Some VHS tapes like newer mini DVs and Digital 8 tapes can suffer from digital
+          corruption, meaning that the footage becomes lost and cannot be recovered. These
+          tapes were the steppingstone from VHS to the digital age when capturing footage
+          straight to digital became the norm. Unfortunately,they are susceptible to digital
+          corruption, which causes video pixilation and/or loss of audio.'
+      - role: assistant
+        content: Alright!
+      - role: user
+        content: 'Now I''m going to write my question, and if the info above is useful, you can use them in your response.
+      
+          Ready?'
+      - role: assistant
+        content: Ready for your question!
+      - role: user
+        content: Why do VHS tapes deteriorate over time?
+inference:
+  parameters:
+    max_new_tokens: 250
+    penalty_alpha: 0.5
+    top_k: 4
+    repetition_penalty: 1.105
+model-index:
+- name: Smol-Llama-101M-Chat-v1
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 22.87
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Smol-Llama-101M-Chat-v1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 28.69
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Smol-Llama-101M-Chat-v1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 24.93
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Smol-Llama-101M-Chat-v1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 45.76
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Smol-Llama-101M-Chat-v1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 50.04
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Smol-Llama-101M-Chat-v1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 0.08
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Smol-Llama-101M-Chat-v1
+      name: Open LLM Leaderboard
+---
+
+# A Llama Chat Model of 101M Parameters
+
+- Base model: [BEE-spoke-data/smol_llama-101M-GQA](https://huggingface.co/BEE-spoke-data/smol_llama-101M-GQA)
+- Datasets:
+  - [Open-Orca/SlimOrca-Dedup](https://huggingface.co/datasets/Open-Orca/SlimOrca-Dedup)
+  - [VMware/open-instruct](https://huggingface.co/datasets/VMware/open-instruct)
+  - [LDJnr/Capybara](https://huggingface.co/datasets/LDJnr/Capybara)
+  - [cognitivecomputations/ultrachat-uncensored](https://huggingface.co/datasets/cognitivecomputations/ultrachat-uncensored)
+  - [starfishmedical/webGPT_x_dolly](https://huggingface.co/datasets/starfishmedical/webGPT_x_dolly)
+  - [THUDM/webglm-qa](https://huggingface.co/datasets/THUDM/webglm-qa)
+- Availability in other ML formats:
+  - GGUF: [Felladrin/gguf-Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/gguf-Smol-Llama-101M-Chat-v1)
+  - ONNX: [Felladrin/onnx-Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/onnx-Smol-Llama-101M-Chat-v1)
+  - MLC: [Felladrin/mlc-q4f16-Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/mlc-q4f16-Smol-Llama-101M-Chat-v1)
+
+## Recommended Prompt Format
+
+```
+<|im_start|>system
+{system_message}<|im_end|>
+<|im_start|>user
+{user_message}<|im_end|>
+<|im_start|>assistant
+```
+
+## Recommended Inference Parameters
+
+```yml
+penalty_alpha: 0.5
+top_k: 4
+repetition_penalty: 1.105
+```
+
+## [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Felladrin__Smol-Llama-101M-Chat-v1)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |28.73|
+|AI2 Reasoning Challenge (25-Shot)|22.87|
+|HellaSwag (10-Shot)              |28.69|
+|MMLU (5-Shot)                    |24.93|
+|TruthfulQA (0-shot)              |45.76|
+|Winogrande (5-shot)              |50.04|
+|GSM8k (5-shot)                   | 0.08|