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Model: SJ-Donald/SOLAR-10.7B-slerp Source: Original Platform
2026-05-13 07:30:39 +08:00
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--- a/README.md
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+---
+language:
+- ko
+license: cc-by-nc-4.0
+tags:
+- merge
+- lazymergekit
+- LDCC/LDCC-SOLAR-10.7B
+- upstage/SOLAR-10.7B-Instruct-v1.0
+base_model:
+- LDCC/LDCC-SOLAR-10.7B
+- upstage/SOLAR-10.7B-Instruct-v1.0
+model-index:
+- name: SOLAR-10.7B-slerp
+  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: 68.17
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SJ-Donald/SOLAR-10.7B-slerp
+      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: 86.91
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SJ-Donald/SOLAR-10.7B-slerp
+      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: 66.73
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SJ-Donald/SOLAR-10.7B-slerp
+      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: 67.42
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SJ-Donald/SOLAR-10.7B-slerp
+      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: 84.06
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SJ-Donald/SOLAR-10.7B-slerp
+      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: 62.17
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SJ-Donald/SOLAR-10.7B-slerp
+      name: Open LLM Leaderboard
+---
+
+# SOLAR-10.7B-slerp
+
+SOLAR-10.7B-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
+* [LDCC/LDCC-SOLAR-10.7B](https://huggingface.co/LDCC/LDCC-SOLAR-10.7B)
+* [upstage/SOLAR-10.7B-Instruct-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-Instruct-v1.0)
+
+## Github
+
+[https://github.com/sunjin7725/SOLAR-10.7b-slerp](https://github.com/sunjin7725/SOLAR-10.7b-slerp)
+
+## Benchmark
+
+### Open-Ko-LLM-Leaderboard
+
+| Average | Ko-ARC | Ko-HellaSwag | Ko-MMLU | Ko-TruthfulQA | Ko-CommonGen V2 |
+| ------: | -----: | -----------: | ------: | ------------: | --------------: |
+|   56.93 |  53.58 |        62.03 |   53.31 |         57.16 |           58.56 |
+
+## How to use
+
+```Python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+repo = 'SJ-Donald/SOLAR-10.7B-slerp'
+
+tokenizer = AutoTokenizer.from_pretrained(repo)
+model = AutoModelForCausalLM.from_pretrained(
+    repo,
+    return_dict=True,
+    torch_dtype=torch.float16,
+    device_map='auto'
+)
+```
+
+
+## 🧩 Configuration
+
+```yaml
+slices:
+  - sources:
+      - model: LDCC/LDCC-SOLAR-10.7B
+        layer_range: [0, 48]
+      - model: upstage/SOLAR-10.7B-Instruct-v1.0
+        layer_range: [0, 48]
+merge_method: slerp
+base_model: upstage/SOLAR-10.7B-Instruct-v1.0
+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
+tokenizer_source: union
+dtype: float16
+
+```
+# [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_SJ-Donald__SOLAR-10.7B-slerp)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |72.58|
+|AI2 Reasoning Challenge (25-Shot)|68.17|
+|HellaSwag (10-Shot)              |86.91|
+|MMLU (5-Shot)                    |66.73|
+|TruthfulQA (0-shot)              |67.42|
+|Winogrande (5-shot)              |84.06|
+|GSM8k (5-shot)                   |62.17|
+
--- a/config.json
+++ b/config.json
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+{
+  "_name_or_path": "upstage/SOLAR-10.7B-Instruct-v1.0",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 4096,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 48,
+  "num_key_value_heads": 8,
+  "pad_token_id": 2,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.35.2",
+  "use_cache": true,
+  "vocab_size": 48000
+}
--- a/mergekit_config.yml
+++ b/mergekit_config.yml
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+
+slices:
+  - sources:
+      - model: LDCC/LDCC-SOLAR-10.7B
+        layer_range: [0, 48]
+      - model: upstage/SOLAR-10.7B-Instruct-v1.0
+        layer_range: [0, 48]
+merge_method: slerp
+base_model: upstage/SOLAR-10.7B-Instruct-v1.0
+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
+tokenizer_source: union
+dtype: float16
+
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