| --- |
| 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| |
|
|
|
|
