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106
README.md
106
README.md
@@ -1,17 +1,112 @@
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---
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quantized_by: bartowski
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pipeline_tag: text-generation
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license_name: falcon-llm-license
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tags:
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- falcon3
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license_link: https://falconllm.tii.ae/falcon-terms-and-conditions.html
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license: other
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base_model: tiiuae/Falcon3-10B-Instruct
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license_name: falcon-llm-license
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license_link: https://falconllm.tii.ae/falcon-terms-and-conditions.html
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model-index:
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- name: Falcon3-10B-Instruct
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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: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
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num_few_shot: 0
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metrics:
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- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 78.17
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name: strict accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=tiiuae/Falcon3-10B-Instruct
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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: BBH (3-Shot)
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type: BBH
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args:
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num_few_shot: 3
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metrics:
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- type: acc_norm
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value: 44.82
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=tiiuae/Falcon3-10B-Instruct
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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: MATH Lvl 5 (4-Shot)
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type: hendrycks/competition_math
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args:
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num_few_shot: 4
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metrics:
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- type: exact_match
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value: 25.91
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name: exact match
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=tiiuae/Falcon3-10B-Instruct
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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: GPQA (0-shot)
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type: Idavidrein/gpqa
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 10.51
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=tiiuae/Falcon3-10B-Instruct
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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: MuSR (0-shot)
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type: TAUR-Lab/MuSR
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 13.61
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=tiiuae/Falcon3-10B-Instruct
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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-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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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: 38.1
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name: accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=tiiuae/Falcon3-10B-Instruct
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name: Open LLM Leaderboard
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---
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## Llamacpp imatrix Quantizations of Falcon3-10B-Instruct
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Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4341">b4341</a> for quantization.
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Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4381">b4381</a> for quantization.
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Original model: https://huggingface.co/tiiuae/Falcon3-10B-Instruct
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@@ -29,11 +124,14 @@ Run them in [LM Studio](https://lmstudio.ai/)
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<|assistant|>
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```
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||||
|
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## What's new:
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|
||||
Fix tokenizer
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|
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## Download a file (not the whole branch) from below:
|
||||
|
||||
| Filename | Quant type | File Size | Split | Description |
|
||||
| -------- | ---------- | --------- | ----- | ----------- |
|
||||
| [Falcon3-10B-Instruct-f32.gguf](https://huggingface.co/bartowski/Falcon3-10B-Instruct-GGUF/blob/main/Falcon3-10B-Instruct-f32.gguf) | f32 | 41.23GB | false | Full F32 weights. |
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| [Falcon3-10B-Instruct-f16.gguf](https://huggingface.co/bartowski/Falcon3-10B-Instruct-GGUF/blob/main/Falcon3-10B-Instruct-f16.gguf) | f16 | 20.62GB | false | Full F16 weights. |
|
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| [Falcon3-10B-Instruct-Q8_0.gguf](https://huggingface.co/bartowski/Falcon3-10B-Instruct-GGUF/blob/main/Falcon3-10B-Instruct-Q8_0.gguf) | Q8_0 | 10.96GB | false | Extremely high quality, generally unneeded but max available quant. |
|
||||
| [Falcon3-10B-Instruct-Q6_K_L.gguf](https://huggingface.co/bartowski/Falcon3-10B-Instruct-GGUF/blob/main/Falcon3-10B-Instruct-Q6_K_L.gguf) | Q6_K_L | 8.65GB | false | Uses Q8_0 for embed and output weights. Very high quality, near perfect, *recommended*. |
|
||||
|
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