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README.md ADDED
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+ ---
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+ tags:
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+ - merge
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+ license: other
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+ model-index:
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+ - name: BoreanGale-70B
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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: 73.89
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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=alchemonaut/BoreanGale-70B
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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: 89.37
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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=alchemonaut/BoreanGale-70B
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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: 75.19
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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=alchemonaut/BoreanGale-70B
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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: 68.6
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=alchemonaut/BoreanGale-70B
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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: 84.53
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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=alchemonaut/BoreanGale-70B
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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: 67.32
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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=alchemonaut/BoreanGale-70B
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+ name: Open LLM Leaderboard
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+ ---
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+
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+ <img src=https://huggingface.co/alchemonaut/BoreanGale-70B/resolve/main/bg.png>
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+
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+ # BoreanGale-70B
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+
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+ A merge using a custom algorithm (NearSwap) of:
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+ - [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
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+ - [Sao10K/WinterGoddess-1.4x-70B-L2](https://huggingface.co/Sao10K/WinterGoddess-1.4x-70B-L2)
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+
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+ <br/>
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+ <br/>
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+
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+ # Quants
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+ Several quants are available thanks to community efforts.
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+
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+ | Type | Misc | Author |
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+ | ----- | ----- | ----- |
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+ | [GGUF](https://huggingface.co/Nexesenex/alchemonaut_BoreanGale-70B-iMat.GGUF) | iMat Q3 | Nexesenex |
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+ | [GGUF](https://huggingface.co/mradermacher/BoreanGale-70B-i1-GGUF) | iMat | mradermacher |
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+ | [GGUF](https://huggingface.co/mradermacher/BoreanGale-70B-GGUF) | Q8_0 | mradermacher |
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+
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+
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+ # NearSwap Algorithm
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+
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+ NearSwap retains most of the weights of the base model (Miqu), but when a weight is similar between the two, it is interpolated to the secondary model (WinterGoddess) value. A parameter *t* specifies the sameness threshold. When the distance between two values is below *t*, the weight from the secondary model (WinterGoddess) is used.
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+
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+ This version of the model uses *t* = 0.001. At this *t*, about 10% of weights are fully switched to WinterGoddess. Model quality rapidly degrades above *t* = 0.0025:
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+
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+ - *t* = 0.0001 (~0.8% full swap): [QuartetAnemoi-70B-t0.0001](https://huggingface.co/alchemonaut/QuartetAnemoi-70B-t0.0001)
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+ - *t* = 0.0003 (~2% full swap)
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+ - *t* = 0.001 (~10% full swap): This model
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+ - *t* = 0.0025 (~18% full swap): Generates one paragraph okay, but then reverts to garbage
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+ - *t* = 0.005 (~35% full swap): Garbage; semi-related word lists
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+ - *t* = 0.01 (~55% full swap): Garbage; pseudorandom tokens output
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+
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+ NearSwap implementation:
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+ ```
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+ t: Union[float, np.ndarray],
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+ v0: Union[np.ndarray, torch.Tensor],
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+ v1: Union[np.ndarray, torch.Tensor],
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+ ...
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+ lweight = numpy.absolute(v0-v1)
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+ lweight = t / lweight
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+ lweight = numpy.nan_to_num(lweight, nan=1.0, posinf=1.0, neginf=1.0)
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+ numpy.clip(lweight, a_min=0.0, a_max=1.0, out=lweight)
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+ res = lerp(lweight,v0,v1)
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+ ```
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+ <br/>
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+ <br/>
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+
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+
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+ # License and Use
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+
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+ Since the ultimate origin of Miqu is at this time unknown beyond speculation, this model is for noncommercial research use only.
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+
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+ <br/>
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+ <br/>
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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_alchemonaut__BoreanGale-70B)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |76.48|
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+ |AI2 Reasoning Challenge (25-Shot)|73.89|
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+ |HellaSwag (10-Shot) |89.37|
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+ |MMLU (5-Shot) |75.19|
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+ |TruthfulQA (0-shot) |68.6|
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+ |Winogrande (5-shot) |84.53|
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+ |GSM8k (5-shot) |67.32|
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+
bg.png ADDED

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