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Model: lex-hue/LexGPT-V3 Source: Original Platform
2026-05-01 09:38:04 +08:00
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--- a/README.md
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+---
+language:
+- en
+- de
+license: mit
+model-index:
+- name: LexGPT-V3
+  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: 66.47
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lex-hue/LexGPT-V3
+      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: 85.91
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lex-hue/LexGPT-V3
+      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: 64.48
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lex-hue/LexGPT-V3
+      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: 59.98
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lex-hue/LexGPT-V3
+      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=lex-hue/LexGPT-V3
+      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: 61.56
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lex-hue/LexGPT-V3
+      name: Open LLM Leaderboard
+---
+This Model was just an Test Train to see how our new Training Algorithm and Data does like.
+
+Model is based on Mistral v0.1
+
+As this was an test run, we just tested it and heres the Data, the model hasnt Improved any better.
+
+| Model | Turn 1 Score | Turn 2 Score | Average Score |
+|-------|-------------|-------------|---------------|
+| gpt-4 | 8.95625      | 9.025000     | 8.990625       |
+| gpt-3.5-turbo | 8.075000     | 7.943750     | 7.943750       |
+| claude-v1  | 8.150000     | 7.900000     | 8.025000       |
+| **LexGPT-V3** | **8.14375**      | 7.719355     | 7.926667       |
+| vicuna-13b-v1.3 | 6.812500    | 5.962500     | 6.387500       |
+
+Open-LLM Leaderboard Results:
+[Results](https://huggingface.co/datasets/open-llm-leaderboard/details_lex-hue__LexGPT-V3)
+# [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_lex-hue__LexGPT-V3)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |69.49|
+|AI2 Reasoning Challenge (25-Shot)|66.47|
+|HellaSwag (10-Shot)              |85.91|
+|MMLU (5-Shot)                    |64.48|
+|TruthfulQA (0-shot)              |59.98|
+|Winogrande (5-shot)              |78.53|
+|GSM8k (5-shot)                   |61.56|
+
--- a/config.json
+++ b/config.json
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+{
+  "_name_or_path": "lex-hue/LexGPT-V3",
+  "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": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}
--- a/model-00001-of-00002.safetensors
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+{
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+    "<unk>",
+    "<s>",
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+  ],
+  "bos_token": {
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+}
--- a/tokenizer.json
+++ b/tokenizer.json
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+{
+  "add_bos_token": true,
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+  "add_prefix_space": true,
+  "added_tokens_decoder": {
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+  "clean_up_tokenization_spaces": false,
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+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "padding_side": "left",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "split_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "trust_remote_code": false,
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true,
+  "use_fast": true
+}