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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+anemoi.png filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+tags:
+- merge
+license: other
+model-index:
+- name: QuartetAnemoi-70B-t0.0001
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 73.38
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=alchemonaut/QuartetAnemoi-70B-t0.0001
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 88.9
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=alchemonaut/QuartetAnemoi-70B-t0.0001
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 75.42
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=alchemonaut/QuartetAnemoi-70B-t0.0001
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 69.53
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=alchemonaut/QuartetAnemoi-70B-t0.0001
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 85.32
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=alchemonaut/QuartetAnemoi-70B-t0.0001
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 68.61
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=alchemonaut/QuartetAnemoi-70B-t0.0001
+      name: Open LLM Leaderboard
+---
+
+<img src=https://huggingface.co/alchemonaut/QuartetAnemoi-70B-t0.0001/resolve/main/anemoi.png>
+
+# QuartetAnemoi-70B-t0.0001
+
+A sequential merge using a custom algorithm (NearSwap) of:
+- [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
+- [Sao10K/WinterGoddess-1.4x-70B-L2](https://huggingface.co/Sao10K/WinterGoddess-1.4x-70B-L2)
+- [Aurora-Nights-70B-v1.0](https://huggingface.co/sophosympatheia/Aurora-Nights-70B-v1.0)
+- [Xwin-LM-70B-V0.1](https://huggingface.co/Xwin-LM/Xwin-LM-70B-V0.1)
+
+<br/>
+
+In our testing, this model seems like a storyteller, as might be expected, but the changes from this merge are extremely soft. We were impressed that, unlike most models, at the end of a story it did not often use cliches such as "In the end", "And so", "beacon of hope", etc.
+
+<br/>
+<br/>
+
+# Quants
+Most of the popular quant formats are available now, thanks to community efforts.
+
+| Type  | Misc   | Author        |
+| ----- | -----  | -----         |
+| [GGUF](https://huggingface.co/alchemonaut/QuartetAnemoi-70B-t0.0001-GGUF/tree/main)  |        | alchemonaut   |
+| [GGUF](https://huggingface.co/Nexesenex/alchemonaut_QuartetAnemoi-70B-iMat.GGUF)  | iMat   | Nexesenex      |
+| [GGUF](https://huggingface.co/mradermacher/QuartetAnemoi-70B-t0.0001-i1-GGUF)  | iMat   | mradermacher     |
+| [GGUF](https://huggingface.co/mradermacher/QuartetAnemoi-70B-t0.0001-GGUF)  | Full Set | mradermacher     |
+| [exl2](https://huggingface.co/llmixer/QuartetAnemoi-70B-t0.0001-2.5bpw-h6-exl2)  | 2.5bpw | llmixer       |
+| [exl2](https://huggingface.co/llmixer/QuartetAnemoi-70B-t0.0001-4bpw-h6-exl2)  | 4.0bpw| llmixer       |
+| [exl2](https://huggingface.co/llmixer/QuartetAnemoi-70B-t0.0001-6.0bpw-h6-exl2) | 6.0bpw | llmixer       |
+| [AWQ](https://huggingface.co/tachyphylaxis/QuartetAnemoi-70B-t0.0001-AWQ)   |        | tachyphylaxis |
+
+
+<br/>
+<br/>
+
+# NearSwap Algorithm
+
+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 value. A parameter *t* specifies the sameness threshold. When the distance between two values is below *t*, the weight from the secondary model is used.
+
+This version of the model uses *t* = 0.0001. At this *t*, about 0.8% of weights are fully switched to the secondary model during each pass. Model quality rapidly degrades above *t* = 0.0025:
+
+- *t* = 0.0001 (~0.8% full swap): This model
+- *t* = 0.0003 (~2%  full swap)
+- *t* = 0.001  (~10% full swap): [BoreanGale-70B](https://huggingface.co/alchemonaut/BoreanGale-70B)
+- *t* = 0.0025 (~18% full swap): Generates one paragraph okay, but then reverts to garbage
+- *t* = 0.005  (~35% full swap): Garbage; semi-related word lists
+- *t* = 0.01   (~55% full swap): Garbage; pseudorandom tokens output
+
+For QuartetAnemoi-70B-t0.0001, the three secondary models were each merged sequentially with *t* = 0.0001.
+
+NearSwap implementation:
+```
+    t: Union[float, np.ndarray],
+    v0: Union[np.ndarray, torch.Tensor],
+    v1: Union[np.ndarray, torch.Tensor],
+...
+    lweight = numpy.absolute(v0-v1)
+    lweight = t / lweight
+    lweight = numpy.nan_to_num(lweight, nan=1.0, posinf=1.0, neginf=1.0)
+    numpy.clip(lweight, a_min=0.0, a_max=1.0, out=lweight)
+    res = lerp(lweight,v0,v1)
+```
+<br/>
+<br/>
+
+
+# License and Use
+
+Since the ultimate origin of Miqu is at this time unknown beyond speculation, this model is for noncommercial research use only.
+
+<br/>
+<br/>
+
+
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_alchemonaut__QuartetAnemoi-70B-t0.0001)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |76.86|
+|AI2 Reasoning Challenge (25-Shot)|73.38|
+|HellaSwag (10-Shot)              |88.9|
+|MMLU (5-Shot)                    |75.42|
+|TruthfulQA (0-shot)              |69.53|
+|Winogrande (5-shot)              |85.32|
+|GSM8k (5-shot)                   |68.61|
+

config.json

@@ -0,0 +1,29 @@
+{
+  "_name_or_path": "QuartetAnemoi-70B-t0.0001",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 8192,
+  "initializer_range": 0.02,
+  "intermediate_size": 28672,
+  "max_position_embeddings": 32764,
+  "model_type": "llama",
+  "num_attention_heads": 64,
+  "num_hidden_layers": 80,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.37.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}

model.safetensors.index.json

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