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Model: sequelbox/Llama3.1-8B-PlumMath Source: Original Platform
2026-05-22 06:42:12 +08:00
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--- a/README.md
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+---
+language:
+- en
+license: llama3.1
+library_name: transformers
+tags:
+- mergekit
+- merge
+- shining-valiant
+- shining-valiant-2
+- cobalt
+- plum
+- valiant
+- valiant-labs
+- llama
+- llama-3.1
+- llama-3.1-instruct
+- llama-3.1-instruct-8b
+- llama-3
+- llama-3-instruct
+- llama-3-instruct-8b
+- 8b
+- math
+- math-instruct
+- science
+- physics
+- biology
+- chemistry
+- compsci
+- computer-science
+- engineering
+- technical
+- conversational
+- chat
+- instruct
+base_model:
+- meta-llama/Llama-3.1-8B-Instruct
+- ValiantLabs/Llama3.1-8B-ShiningValiant2
+- ValiantLabs/Llama3.1-8B-Cobalt
+pipeline_tag: text-generation
+model_type: llama
+model-index:
+- name: sequelbox/Llama3.1-8B-PlumMath
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-Shot)
+      type: Winogrande
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 72.38
+      name: acc
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MathQA (5-Shot)
+      type: MathQA
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 40.27
+      name: acc
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 22.42
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumMath
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 16.45
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumMath
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 3.93
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumMath
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 9.06
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumMath
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 8.98
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumMath
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 21.95
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumMath
+      name: Open LLM Leaderboard
+---
+# PlumMath
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the della merge method using [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [ValiantLabs/Llama3.1-8B-ShiningValiant2](https://huggingface.co/ValiantLabs/Llama3.1-8B-ShiningValiant2)
+* [ValiantLabs/Llama3.1-8B-Cobalt](https://huggingface.co/ValiantLabs/Llama3.1-8B-Cobalt)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+merge_method: della
+dtype: bfloat16
+parameters:
+  normalize: true
+models:
+  - model: ValiantLabs/Llama3.1-8B-ShiningValiant2
+    parameters:
+      density: 0.5
+      weight: 0.3
+  - model: ValiantLabs/Llama3.1-8B-Cobalt
+    parameters:
+      density: 0.5
+      weight: 0.2
+base_model: meta-llama/Llama-3.1-8B-Instruct
+```
+
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_sequelbox__Llama3.1-8B-PlumMath)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |13.80|
+|IFEval (0-Shot)    |22.42|
+|BBH (3-Shot)       |16.45|
+|MATH Lvl 5 (4-Shot)| 3.93|
+|GPQA (0-shot)      | 9.06|
+|MuSR (0-shot)      | 8.98|
+|MMLU-PRO (5-shot)  |21.95|
+
--- a/config.json
+++ b/config.json
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+{
+  "_name_or_path": "sequelbox/Llama3.1-8B-PlumMath",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 8.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.45.1",
+  "use_cache": true,
+  "vocab_size": 128256
+}
--- a/configuration.json
+++ b/configuration.json
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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
--- a/generation_config.json
+++ b/generation_config.json
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+{
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.44.2"
+}
--- a/mergekit_config.yml
+++ b/mergekit_config.yml
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+merge_method: della
+dtype: bfloat16
+parameters:
+  normalize: true
+models:
+  - model: ValiantLabs/Llama3.1-8B-ShiningValiant2
+    parameters:
+      density: 0.5
+      weight: 0.3
+  - model: ValiantLabs/Llama3.1-8B-Cobalt
+    parameters:
+      density: 0.5
+      weight: 0.2
+merge_method: della
+base_model: meta-llama/Llama-3.1-8B-Instruct
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--- a/model.safetensors.index.json
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--- a/special_tokens_map.json
+++ b/special_tokens_map.json
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+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
--- a/tokenizer.json
+++ b/tokenizer.json
--- a/tokenizer_config.json
+++ b/tokenizer_config.json
				`@@ -0,0 +1 @@`
				`{"framework": "pytorch", "task": "text-generation", "allow_remote": true}`