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Model: vicgalle/franken-SOLAR-18B-v1.0 Source: Original Platform
2026-04-23 09:22:07 +08:00
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+---
+license: apache-2.0
+tags:
+- mergekit
+- merge
+- solar
+base_model:
+- upstage/SOLAR-10.7B-Instruct-v1.0
+- NousResearch/Nous-Hermes-2-SOLAR-10.7B
+model-index:
+- name: franken-SOLAR-18B-v1.0
+  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: 65.53
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/franken-SOLAR-18B-v1.0
+      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: 86.45
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/franken-SOLAR-18B-v1.0
+      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: 63.72
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/franken-SOLAR-18B-v1.0
+      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: 62.14
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/franken-SOLAR-18B-v1.0
+      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: 78.53
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/franken-SOLAR-18B-v1.0
+      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: 45.79
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/franken-SOLAR-18B-v1.0
+      name: Open LLM Leaderboard
+---
+# vicgalle/franken-SOLAR-18B-v1.0
+
+This is a SOLAR-like model upscaled to 18B. 
+It is a frankenmerge model created using mergekit, alternating layers of Nous-Hermes-2-SOLAR-10.7B and SOLAR-10.7B-Instruct.
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/5fad8602b8423e1d80b8a965/mMyHMuuftG71_o4at5suy.png)
+
+Evaluations coming soon! 
+
+This model has very good writing capabilities (compared to SOLAR-10.7B), specially for role-playing.
+
+Quantized GGUF variants here https://huggingface.co/vicgalle/franken-SOLAR-18B-v1.0-GGUF
+
+## Merge Details
+### Merge Method
+
+This model was merged using the passthrough merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [upstage/SOLAR-10.7B-Instruct-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-Instruct-v1.0)
+* [NousResearch/Nous-Hermes-2-SOLAR-10.7B](https://huggingface.co/NousResearch/Nous-Hermes-2-SOLAR-10.7B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+    - model: NousResearch/Nous-Hermes-2-SOLAR-10.7B
+      layer_range: [0, 12]
+  - sources:
+    - model: upstage/SOLAR-10.7B-Instruct-v1.0
+      layer_range: [6, 18]
+  - sources:
+    - model: NousResearch/Nous-Hermes-2-SOLAR-10.7B
+      layer_range: [13, 25]
+  - sources:
+    - model: upstage/SOLAR-10.7B-Instruct-v1.0
+      layer_range: [19, 31]
+  - sources:
+    - model: NousResearch/Nous-Hermes-2-SOLAR-10.7B
+      layer_range: [26, 38]
+  - sources:
+    - model: upstage/SOLAR-10.7B-Instruct-v1.0
+      layer_range: [32, 44]
+  - sources:
+    - model: NousResearch/Nous-Hermes-2-SOLAR-10.7B
+      layer_range: [39, 48]
+    
+merge_method: passthrough
+dtype: float16
+
+```
+
+
+### Usage
+
+You can use the provided template:
+
+```
+tokenizer = AutoTokenizer.from_pretrained("vicgalle/franken-SOLAR-18B-v1.0")
+model = AutoModelForCausalLM.from_pretrained("vicgalle/franken-SOLAR-18B-v1.0", torch_dtype=torch.float16, load_in_4bit=True)
+
+conversation = [ {'role': 'system', 'content': SYSTEM_PROMPT}, {'role': 'user', 'content': USER_PROMPT} ] 
+prompt = tokenizer.apply_chat_template(conversation, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+
+outputs = model.generate(**inputs, use_cache=True, max_new_tokens=1024, do_sample=True, temperature=0.8)
+output_text = tokenizer.decode(outputs[0]) 
+```
+
+# [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_vicgalle__franken-SOLAR-18B-v1.0)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |67.03|
+|AI2 Reasoning Challenge (25-Shot)|65.53|
+|HellaSwag (10-Shot)              |86.45|
+|MMLU (5-Shot)                    |63.72|
+|TruthfulQA (0-shot)              |62.14|
+|Winogrande (5-shot)              |78.53|
+|GSM8k (5-shot)                   |45.79|
+