--- language: - en library_name: transformers pipeline_tag: text-generation datasets: - jondurbin/airoboros-2.2 - Open-Orca/OpenOrca - garage-bAInd/Open-Platypus - WizardLM/WizardLM_evol_instruct_V2_196k - TokenBender/python_eval_instruct_51k tags: - llama-2 - code license: llama2 model-index: - name: SpeechlessCoder results: - task: type: text-generation dataset: type: openai_humaneval name: HumanEval metrics: - name: pass@1 type: pass@1 value: 52.439 verified: false ---

speechless-coding-7b-16k-tora

Use the following dataset to fine-tune llm_agents/tora-code-7b-v1.0 in order to improve the model's reasoning and planning abilities. context window length: 16,384 prompt_type = "alpaca" max_tokens > 128 && < 16384 > Total 177,333 samples 316 MB - jondurbin/airoboros-2.2: Filter categories related to coding, reasoning and planning. 21,923 samples. - Open-Orca/OpenOrca: Filter the 'cot' category in 1M GPT4 dataset. 62,973 samples. - garage-bAInd/Open-Platypus: 100%, 22,760 samples. - WizardLM/WizardLM_evol_instruct_V2_196k: Coding coversation part. 30,081 samples - TokenBender/python_eval_instruct_51k: “python” in output .39,596 samples 50 samples/T=0.2/MaxTokens=512/Top_P=0.95 Code: https://github.com/uukuguy/speechless ## How to Prompt the Model This model accepts the Alpaca instruction format. For example: ``` You are an intelligent programming assistant. ### Instruction: Implement a linked list in C++ ### Response: ``` ## HumanEval | Metric | Value | | --- | --- | | humaneval-python | 52.44 | [Big Code Models Leaderboard](https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard) CodeLlama-34B-Python: 53.29 CodeLlama-34B-Instruct: 50.79 CodeLlama-13B-Instruct: 50.6 CodeLlama-34B: 45.11 CodeLlama-13B-Python: 42.89 CodeLlama-13B: 35.07 ## MultiPL-E | Metric | Value | | --- | --- | | python | 55.96 | | java | 37.84 | | javascript | 46.93 | | cpp | 37.48 | | rust | 29.01 | | go | 28.99 | | sh | 12.11 | | julia | 31.47 | | typescript | 47.80 | ## LMEval [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) | Metric | Value | | --- | --- | | ARC | | | HellaSwag | | | MMLU | | | TruthfulQA | | | Average | | ## Parameters | | | |------ | ------ | | lr | 2e-4 | | lr_scheduler_type | cosine | | weight_decay | 0.0 | | optim | paged_adamw_8bit | | flash_attention | True | | rerope | False | | max_new_tokens | 16384 | | num_train_epochs | 2 | | bits | 4 | | lora_r | 64 | | lora_alpha | 256 | | lora_dropout | 0.05 | | double_quant | True | | quant_type | nf4 | | dataset_format | sharegpt | | mini_batch_size | 2 | | grandient_accumulation_steps | 32 | | bf16 | True | A100-40G x 4