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Model: Artples/L-MChat-Small Source: Original Platform
2026-08-11 07:05:20 +08:00
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+---
+license: mit
+library_name: transformers
+tags:
+- mergekit
+- merge
+base_model:
+- rhysjones/phi-2-orange-v2
+- Weyaxi/Einstein-v4-phi2
+model-index:
+- name: L-MChat-Small
+  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: 61.6
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Artples/L-MChat-Small
+      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: 75.9
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Artples/L-MChat-Small
+      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: 57.41
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Artples/L-MChat-Small
+      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: 49.94
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Artples/L-MChat-Small
+      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: 74.98
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Artples/L-MChat-Small
+      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: 58.98
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Artples/L-MChat-Small
+      name: Open LLM Leaderboard
+---
+
+## L-MChat-Small
+
+<div style="text-align:center;width:250px;height:250px;">
+    <img src="https://priority.cdn.leunos.com/logo-l-mchat-rs.png" alt="L-MChat-Series-Logo"">
+</div>
+
+This was a test of mine how small merges perform, because there are a lot of 7b merges and higher but not a lot of 2b merges.
+
+### Merge Method
+
+This model was merged using the SLERP merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [rhysjones/phi-2-orange-v2](https://huggingface.co/rhysjones/phi-2-orange-v2)
+* [Weyaxi/Einstein-v4-phi2](https://huggingface.co/Weyaxi/Einstein-v4-phi2)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+- sources:
+  - model: Weyaxi/Einstein-v4-phi2
+    layer_range:
+    - 0
+    - 32
+  - model: rhysjones/phi-2-orange-v2
+    layer_range:
+    - 0
+    - 32
+merge_method: slerp
+base_model: rhysjones/phi-2-orange-v2
+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
+dtype: bfloat16
+```
+
+## Usage
+
+Use it with the ChatML format, you can also use the Inference-API for this Model.
+# [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_Artples__L-MChat-Small)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |63.14|
+|AI2 Reasoning Challenge (25-Shot)|61.60|
+|HellaSwag (10-Shot)              |75.90|
+|MMLU (5-Shot)                    |57.41|
+|TruthfulQA (0-shot)              |49.94|
+|Winogrande (5-shot)              |74.98|
+|GSM8k (5-shot)                   |58.98|
+