69 lines
2.9 KiB
Markdown
69 lines
2.9 KiB
Markdown
---
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base_model: appvoid/no-prompt-1.3b
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datasets:
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- appvoid/no-prompt-15k
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inference: false
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language:
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- en
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license: apache-2.0
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model_creator: appvoid
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model_name: no-prompt-1.3b
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pipeline_tag: text-generation
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quantized_by: afrideva
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tags:
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- gguf
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- ggml
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- quantized
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- q2_k
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- q3_k_m
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- q4_k_m
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- q5_k_m
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- q6_k
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- q8_0
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---
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# appvoid/no-prompt-1.3b-GGUF
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Quantized GGUF model files for [no-prompt-1.3b](https://huggingface.co/appvoid/no-prompt-1.3b) from [appvoid](https://huggingface.co/appvoid)
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| Name | Quant method | Size |
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| ---- | ---- | ---- |
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| [no-prompt-1.3b.fp16.gguf](https://huggingface.co/afrideva/no-prompt-1.3b-GGUF/resolve/main/no-prompt-1.3b.fp16.gguf) | fp16 | 2.69 GB |
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| [no-prompt-1.3b.q2_k.gguf](https://huggingface.co/afrideva/no-prompt-1.3b-GGUF/resolve/main/no-prompt-1.3b.q2_k.gguf) | q2_k | 631.52 MB |
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| [no-prompt-1.3b.q3_k_m.gguf](https://huggingface.co/afrideva/no-prompt-1.3b-GGUF/resolve/main/no-prompt-1.3b.q3_k_m.gguf) | q3_k_m | 704.72 MB |
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| [no-prompt-1.3b.q4_k_m.gguf](https://huggingface.co/afrideva/no-prompt-1.3b-GGUF/resolve/main/no-prompt-1.3b.q4_k_m.gguf) | q4_k_m | 873.27 MB |
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| [no-prompt-1.3b.q5_k_m.gguf](https://huggingface.co/afrideva/no-prompt-1.3b-GGUF/resolve/main/no-prompt-1.3b.q5_k_m.gguf) | q5_k_m | 1.00 GB |
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| [no-prompt-1.3b.q6_k.gguf](https://huggingface.co/afrideva/no-prompt-1.3b-GGUF/resolve/main/no-prompt-1.3b.q6_k.gguf) | q6_k | 1.17 GB |
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| [no-prompt-1.3b.q8_0.gguf](https://huggingface.co/afrideva/no-prompt-1.3b-GGUF/resolve/main/no-prompt-1.3b.q8_0.gguf) | q8_0 | 1.43 GB |
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## Original Model Card:
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# no-prompt
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### a sheared-llama-1.3b fine-tuning
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This model uses an 1.3 billion parameters model as base to be further fine-tuned on the same data as palmer. It works pretty good and even surpasses sota model on `hellaswag`.
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### evaluation
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|Model| ARC_C| HellaSwag| PIQA| Winogrande|
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|------|-----|-----------|------|-------------|
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|tinyllama-2t| 0.2807| 0.5463| 0.7067| 0.5683|
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|palmer-001 | 0.2807| 0.5524| 0.7106| 0.5896|
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|sheared-1.3b| 0.2910| 0.5935| 0.7339| 0.5809|
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|no-prompt-1.3b| 0.3157| **0.6022**| 0.7334| 0.5864|
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|falcon-rw-1b-instruct-openorca (sota) | **0.3362**| 0.5997| **0.7394**| **0.6148**|
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This model was trained on less than 25% of the dataset yet achieves competitive performance to current sota on open llm leaderboard.
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### training
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Training took ~5 P100 gpu hours. It was trained on 15,000 gpt-4 shuffled samples. no-prompt was fine-tuned using lower learning rates ensuring it keeps as much general knowledge as possible.
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### prompt
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```
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no prompt
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```
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### limitations
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Hallucinations are frequent, just as any transformer model this size.
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<a href="https://ko-fi.com/appvoid" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 48px !important;width: 180px !important; filter: invert(70%);" ></a> |