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README.md

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+---
+license: cc-by-nc-4.0
+library_name: transformers
+tags:
+- mergekit
+- merge
+- alpaca
+- mistral
+- not-for-all-audiences
+- nsfw
+model-index:
+- name: IceCaffeLatteRP-7b
+  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: 69.03
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/IceCaffeLatteRP-7b
+      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: 86.7
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/IceCaffeLatteRP-7b
+      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: 64.34
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/IceCaffeLatteRP-7b
+      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: 61.16
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/IceCaffeLatteRP-7b
+      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: 81.29
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/IceCaffeLatteRP-7b
+      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: 64.06
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/IceCaffeLatteRP-7b
+      name: Open LLM Leaderboard
+---
+# IceCaffeLatteRP-7b
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63407b719dbfe0d48b2d763b/LHNBi_grj2x-kNRi8RksY.png)
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+
+My last merge that I'm using. For feedback [ST Discord model's topic](https://discord.com/channels/1100685673633153084/1245083435941236757)
+
+- [4.2bpw-exl2](https://huggingface.co/icefog72/IceCaffeLatteRP-7b-4.2bpw-exl2)
+
+Thx riveRiPH for
+
+- [3.17bpw-exl2](https://huggingface.co/riveRiPH/IceCaffeLatteRP-7b-3.17bpw-h8-exl2)
+- [4.32bpw-exl2](https://huggingface.co/riveRiPH/IceCaffeLatteRP-7b-4.32bpw-h8-exl2)
+- [5.32bpw-exl2](https://huggingface.co/riveRiPH/IceCaffeLatteRP-7b-5.32bpw-h8-exl2)
+- [6.33bpw-exl2](https://huggingface.co/riveRiPH/IceCaffeLatteRP-7b-6.33bpw-h8-exl2)
+- [8.04bpw-exl2](https://huggingface.co/riveRiPH/IceCaffeLatteRP-7b-8.04bpw-h8-exl2)
+
+Thx mradermacher for
+
+- [GGUF](https://huggingface.co/mradermacher/IceCaffeLatteRP-7b-GGUF)
+
+### Merge Method
+
+This model was merged using the SLERP merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* IceLatteRP-7b 
+* IceMochaccinoRP-7b
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+      - model: IceMochaccinoRP-7b
+        layer_range: [0, 32]
+      - model: IceLatteRP-7b 
+        layer_range: [0, 32]
+
+merge_method: slerp
+base_model: IceLatteRP-7b 
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5 # fallback for rest of tensors
+dtype: bfloat16
+
+```
+
+# [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_icefog72__IceCaffeLatteRP-7b)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |71.10|
+|AI2 Reasoning Challenge (25-Shot)|69.03|
+|HellaSwag (10-Shot)              |86.70|
+|MMLU (5-Shot)                    |64.34|
+|TruthfulQA (0-shot)              |61.16|
+|Winogrande (5-shot)              |81.29|
+|GSM8k (5-shot)                   |64.06|
+

config.json

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+{
+    "_name_or_path": "IceCaffeLatteRP-7b",
+    "architectures": [
+        "MistralForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": 1,
+    "eos_token_id": 2,
+    "hidden_act": "silu",
+    "hidden_size": 4096,
+    "initializer_range": 0.02,
+    "intermediate_size": 14336,
+    "max_position_embeddings": 32768,
+    "model_type": "mistral",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 32,
+    "num_key_value_heads": 8,
+    "rms_norm_eps": 1e-05,
+    "rope_theta": 100000.0,
+    "sliding_window": null,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.38.2",
+    "use_cache": true,
+    "vocab_size": 32000,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.1.4",
+        "bits": 6.0,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 100,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

mergekit_config.yml

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+slices:
+  - sources:
+      - model: G:\FModels\IceMochaccinoRP-7b
+        layer_range: [0, 32]
+      - model: G:\FModels\IceLatteRP
+        layer_range: [0, 32]
+
+merge_method: slerp
+base_model: G:\FModels\IceLatteRP
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5 # fallback for rest of tensors
+dtype: bfloat16

model.safetensors.index.json

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