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speechless-code-mistral-7b-v2.0 – AI Model by uukuguy | AlphaNeural AI
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speechless-code-mistral-7b-v2.0
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transformers
pytorch
mistral
text-generation
code
en
jondurbin/airoboros-2.2
Open-Orca/OpenOrca
garage-bAInd/Open-Platypus
WizardLM/WizardLM_evol_instruct_V2_196k
TokenBender/python_eval_instruct_51k
ise-uiuc/Magicoder-OSS-Instruct-75K
meta-math/MetaMathQA
apache-2.0
model-index
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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speechless-code-mistral-7b-v2.0
Code:
https://github.com/uukuguy/speechless
Use the following dataset to fine-tune mistralai/Mistral-7B-v0.1 in order to improve the model's reasoning and planning abilities.
Total 343,370 samples 603 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. 30,077 samples
TokenBender/python_eval_instruct_51k: “python” in output .39,596 samples
OpenHermes code block in output 18,969 samples
CollectiveCognition-2023-09-27 200 samples
ise-uiuc/Magicoder-OSS-Instruct-75K 75,197 samples
meta-math/MetaMathQA 20% 395K 71,706 samples
HumanEval
Metric
Value
humaneval-python
Big Code 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
lm-evaluation-harness
Open LLM Leaderboard
Metric
Value
ARC
HellaSwag
MMLU
TruthfulQA
Average
