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Model: mwitiderrick/open_llama_3b_code_instruct_0.1 Source: Original Platform
2026-07-04 18:21:22 +08:00
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+---
+language:
+- en
+license: apache-2.0
+library_name: transformers
+tags:
+- transformers
+datasets:
+- mwitiderrick/AlpacaCode
+base_model: openlm-research/open_llama_3b
+inference: true
+model_type: llama
+prompt_template: '### Instruction:\n
+
+  {prompt}
+
+  ### Response:
+
+  '
+created_by: mwitiderrick
+pipeline_tag: text-generation
+model-index:
+- name: mwitiderrick/open_llama_3b_instruct_v_0.2
+  results:
+  - task:
+      type: text-generation
+    dataset:
+      name: hellaswag
+      type: hellaswag
+    metrics:
+    - type: hellaswag (0-Shot)
+      value: 0.6581
+      name: hellaswag(0-Shot)
+  - task:
+      type: text-generation
+    dataset:
+      name: winogrande
+      type: winogrande
+    metrics:
+    - type: winogrande (0-Shot)
+      value: 0.6267
+      name: winogrande(0-Shot)
+  - task:
+      type: text-generation
+    dataset:
+      name: arc_challenge
+      type: arc_challenge
+    metrics:
+    - type: arc_challenge (0-Shot)
+      value: 0.3712
+      name: arc_challenge(0-Shot)
+    source:
+      url: https://huggingface.co/mwitiderrick/open_llama_3b_instruct_v_0.2
+      name: open_llama_3b_instruct_v_0.2 model card
+  - 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: 41.21
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mwitiderrick/open_llama_3b_code_instruct_0.1
+      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: 66.96
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mwitiderrick/open_llama_3b_code_instruct_0.1
+      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: 27.82
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mwitiderrick/open_llama_3b_code_instruct_0.1
+      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: 35.01
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mwitiderrick/open_llama_3b_code_instruct_0.1
+      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: 65.43
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mwitiderrick/open_llama_3b_code_instruct_0.1
+      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: 1.9
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mwitiderrick/open_llama_3b_code_instruct_0.1
+      name: Open LLM Leaderboard
+---
+# OpenLLaMA Code Instruct: An Open Reproduction of LLaMA
+
+This is an [OpenLlama model](https://huggingface.co/openlm-research/open_llama_3b) that has been fine-tuned on 1 epoch of the
+[AlpacaCode](https://huggingface.co/datasets/mwitiderrick/AlpacaCode) dataset (122K rows).
+
+## Prompt Template
+```
+### Instruction:
+
+{query}
+
+### Response:
+<Leave new line for model to respond> 
+```
+## Usage 
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM,pipeline
+
+tokenizer = AutoTokenizer.from_pretrained("mwitiderrick/open_llama_3b_code_instruct_0.1")
+model = AutoModelForCausalLM.from_pretrained("mwitiderrick/open_llama_3b_code_instruct_0.1")
+query = "Write a quick sort algorithm in Python"
+text_gen = pipeline(task="text-generation", model=model, tokenizer=tokenizer, max_length=200)
+output = text_gen(f"### Instruction:\n{query}\n### Response:\n")
+print(output[0]['generated_text'])
+"""
+### Instruction:
+write a quick sort algorithm in Python
+### Response:
+def quick_sort(arr):
+    if len(arr) <= 1:
+        return arr
+    else:
+        pivot = arr[len(arr) // 2]
+        left = [x for x in arr if x < pivot]
+        middle = [x for x in arr if x == pivot]
+        right = [x for x in arr if x > pivot]
+        return quick_sort(left) + middle + quick_sort(right)
+
+arr = [5,2,4,3,1]
+print(quick_sort(arr))
+"""
+[1, 2, 3, 4, 5]
+"""
+```
+## Metrics
+[Detailed metrics](https://huggingface.co/datasets/open-llm-leaderboard/details_mwitiderrick__open_llama_3b_code_instruct_0.1)
+```
+|  Tasks   |Version|Filter|n-shot|Metric|Value |   |Stderr|
+|----------|-------|------|-----:|------|-----:|---|-----:|
+|winogrande|Yaml   |none  |     0|acc   |0.6267|±  |0.0136|
+|hellaswag|Yaml   |none  |     0|acc     |0.4962|±  |0.0050|
+|         |       |none  |     0|acc_norm|0.6581|±  |0.0047|
+|arc_challenge|Yaml   |none  |     0|acc     |0.3481|±  |0.0139|
+|             |       |none  |     0|acc_norm|0.3712|±  |0.0141|
+|truthfulqa|N/A    |none  |     0|bleu_max   | 24.2580|±  |0.5985|
+|          |       |none  |     0|bleu_acc   |  0.2876|±  |0.0003|
+|          |       |none  |     0|bleu_diff  | -8.3685|±  |0.6065|
+|          |       |none  |     0|rouge1_max | 49.3907|±  |0.7350|
+|          |       |none  |     0|rouge1_acc |  0.2558|±  |0.0002|
+|          |       |none  |     0|rouge1_diff|-10.6617|±  |0.6450|
+|          |       |none  |     0|rouge2_max | 32.4189|±  |0.9587|
+|          |       |none  |     0|rouge2_acc |  0.2142|±  |0.0002|
+|          |       |none  |     0|rouge2_diff|-12.9903|±  |0.9539|
+|          |       |none  |     0|rougeL_max | 46.2337|±  |0.7493|
+|          |       |none  |     0|rougeL_acc |  0.2424|±  |0.0002|
+|          |       |none  |     0|rougeL_diff|-11.0285|±  |0.6576|
+|          |       |none  |     0|acc        |  0.3072|±  |0.0405|
+```
+# [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_mwitiderrick__open_llama_3b_code_instruct_0.1)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |39.72|
+|AI2 Reasoning Challenge (25-Shot)|41.21|
+|HellaSwag (10-Shot)              |66.96|
+|MMLU (5-Shot)                    |27.82|
+|TruthfulQA (0-shot)              |35.01|
+|Winogrande (5-shot)              |65.43|
+|GSM8k (5-shot)                   | 1.90|
+