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