111 lines
2.6 KiB
Markdown
111 lines
2.6 KiB
Markdown
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---
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language:
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- en
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library_name: transformers
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pipeline_tag: text-generation
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datasets:
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- ise-uiuc/Magicoder-OSS-Instruct-75K
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- ise-uiuc/Magicoder-Evol-Instruct-110K
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tags:
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- code
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license: apache-2.0
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model-index:
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- name: SpeechlessCoder
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results:
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- task:
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type: text-generation
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dataset:
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type: openai_humaneval
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name: HumanEval
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metrics:
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- name: pass@1
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type: pass@1
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value:
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verified: false
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---
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<p><h1> speechless-coder-ds-6.7b </h1></p>
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[4, 5 and 8-bit GGUF models for CPU+GPU inference](https://huggingface.co/uukuguy/speechless-coder-ds-6.7b/tree/main/GGUF)
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Use the following dataset to fine-tune deepseek-ai/deepseek-coder-6.7b in order to improve the model's reasoning and planning abilities.
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context window length: 8192
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max_tokens > 128 && < 8192
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>
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Total 185,193 samples 426 MB
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- ise-uiuc/Magicoder-OSS-Instruct-75K 75,186 samples
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- ise-uiuc/Magicoder-Evol-Instruct-110K 110,007 samples
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50 samples/T=0.2/MaxTokens=512/Top_P=0.95
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Code: https://github.com/uukuguy/speechless
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## How to Prompt the Model
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This model accepts the Alpaca instruction format.
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For example:
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```
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You are an intelligent programming assistant.
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### Instruction:
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Implement a linked list in C++
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### Response:
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```
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## HumanEval
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| Metric | Value |
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| --- | --- |
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| humaneval-python | |
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[Big Code Models Leaderboard](https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard)
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CodeLlama-34B-Python: 53.29
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CodeLlama-34B-Instruct: 50.79
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CodeLlama-13B-Instruct: 50.6
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CodeLlama-34B: 45.11
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CodeLlama-13B-Python: 42.89
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CodeLlama-13B: 35.07
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## BigCode Eval
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0.314188
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- metrics_humanevalfixtests-cpp: "pass@1": 0.27439024390243905
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- metrics_humanevalfixtests-go: "pass@1": 0.23170731707317074
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- metrics_humanevalfixtests-java: "pass@1": 0.25609756097560976
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- metrics_humanevalfixtests-js: "pass@1": 0.21951219512195122
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- metrics_humanevalfixtests-python: "pass@1": 0.23780487804878048
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- metrics_humanevalfixtests-rust: "pass@1": 0.13414634146341464
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0.390111
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- metrics_humanevalsynthesize-cpp: "pass@1": 0.3780487804878049
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- metrics_humanevalsynthesize-go: "pass@1": 0.25609756097560976
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- metrics_humanevalsynthesize-java: "pass@1": 0.45121951219512196
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- metrics_humanevalsynthesize-js: "pass@1": 0.4268292682926829
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- metrics_humanevalsynthesize-python: "pass@1": 0.5365853658536586
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- metrics_humanevalsynthesize-rust: "pass@1": 0.25
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- metrics_mbpp: "pass@1": 0.432
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## LMEval
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[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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| Metric | Value |
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| --- | --- |
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| ARC | |
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| HellaSwag | |
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| MMLU | |
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| TruthfulQA | |
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| Average | |
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