Upload README.md
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README.md
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model_name: Marcoroni 13B
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model_type: llama
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pipeline_tag: text-generation
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quantized_by: TheBloke
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---
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<!-- repositories-available start -->
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## Repositories available
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* [GPTQ models for GPU inference, with multiple quantisation parameter options.](https://huggingface.co/TheBloke/Marcoroni-13B-GPTQ)
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* [2, 3, 4, 5, 6 and 8-bit GGUF models for CPU+GPU inference](https://huggingface.co/TheBloke/Marcoroni-13B-GGUF)
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* [AIDC-ai-business's original unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/AIDC-ai-business/Marcoroni-13B)
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<!-- repositories-available end -->
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<!-- prompt-template start -->
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## Prompt template:
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```
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{prompt}
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```
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<!-- prompt-template end -->
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Make sure you are using `llama.cpp` from commit [d0cee0d36d5be95a0d9088b674dbb27354107221](https://github.com/ggerganov/llama.cpp/commit/d0cee0d36d5be95a0d9088b674dbb27354107221) or later.
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```shell
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./main -ngl 32 -m marcoroni-13b.q4_K_M.gguf --color -c 4096 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "{prompt}"
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```
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Change `-ngl 32` to the number of layers to offload to GPU. Remove it if you don't have GPU acceleration.
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### Response:
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```
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# Evulation Results ([Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard))
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| Metric | Value |
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|-----------------------|-------|
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| Avg. | 65.
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| ARC (25-shot) |
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| HellaSwag (10-shot) | 83.
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| MMLU (5-shot) |
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| TruthfulQA (0-shot) |
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<!-- original-model-card end -->
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model_name: Marcoroni 13B
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model_type: llama
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pipeline_tag: text-generation
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prompt_template: 'Below is an instruction that describes a task. Write a response
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that appropriately completes the request.
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### Instruction:
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{prompt}
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### Response:
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'
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quantized_by: TheBloke
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---
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<!-- repositories-available start -->
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## Repositories available
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* [AWQ model(s) for GPU inference.](https://huggingface.co/TheBloke/Marcoroni-13B-AWQ)
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* [GPTQ models for GPU inference, with multiple quantisation parameter options.](https://huggingface.co/TheBloke/Marcoroni-13B-GPTQ)
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* [2, 3, 4, 5, 6 and 8-bit GGUF models for CPU+GPU inference](https://huggingface.co/TheBloke/Marcoroni-13B-GGUF)
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* [AIDC-ai-business's original unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/AIDC-ai-business/Marcoroni-13B)
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<!-- repositories-available end -->
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<!-- prompt-template start -->
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## Prompt template: Alpaca
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```
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Below is an instruction that describes a task. Write a response that appropriately completes the request.
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### Instruction:
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{prompt}
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### Response:
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```
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<!-- prompt-template end -->
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Make sure you are using `llama.cpp` from commit [d0cee0d36d5be95a0d9088b674dbb27354107221](https://github.com/ggerganov/llama.cpp/commit/d0cee0d36d5be95a0d9088b674dbb27354107221) or later.
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```shell
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./main -ngl 32 -m marcoroni-13b.q4_K_M.gguf --color -c 4096 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n{prompt}\n\n### Response:"
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```
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Change `-ngl 32` to the number of layers to offload to GPU. Remove it if you don't have GPU acceleration.
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### Response:
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```
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# Evulation Results ([Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard))
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| Metric | Value |
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|-----------------------|-------|
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| Avg. | 65.76 |
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| ARC (25-shot) | 62.46 |
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| HellaSwag (10-shot) | 83.27 |
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| MMLU (5-shot) | 59.63 |
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| TruthfulQA (0-shot) | 57.7 |
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<!-- original-model-card end -->
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