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DataLearner 标志DataLearner AI

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© 2026 DataLearner AI. DataLearner 持续整合行业数据与案例，为科研、企业与开发者提供可靠的大模型情报与实践指南。

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Open LLM Leaderboard 中国站

Open LLM Leaderboard是追踪大模型评测结果的排行榜，通过追踪大语言模型和ChatBot在不同评测任务上的表现来对模型进行排名和评估。

数据来源: HuggingFace

筛选条件

模型类型:全部模型Pretrained ModelsFine Tuned ModelsChat ModelsMerged or MoE Models
模型名称模型类型参数大小(亿)平均分ARC分数HellaSwag分数MMLU分数TruthfulQA分数Winogrande分数GSM8K分数模型架构
pythia-6.7bPretrained Models66.538.0640.165.024.6432.8564.721.06Unknown
Cerebras-GPT-13BPretrained Models13037.4

数据仅供参考，以官方来源为准。模型名称旁的链接可跳转到 DataLearner 模型详情页。

38.14
60.01
25.92
39.19
59.83
1.29
GPT2Model
StellarX-4B-V0Pretrained Models4037.3136.9561.926.8534.363.850.0GPTNeoXForCausalLM
gpt-sw3-6.7bPretrained Models71.137.2336.3560.7526.039.0460.690.53GPT2LMHeadModel
pythia-2.7bPretrained Models29.137.0937.3760.7425.8635.462.121.06Unknown
falcon-rw-1bPretrained Models1037.0735.0763.5625.2835.9662.040.53FalconForCausalLM
opt-2.7bPretrained Models2736.7433.9661.4325.4337.4361.960.23OPTForCausalLM
pythia-2.8b-dedupedPretrained Models29.136.7236.2660.6626.7835.5660.220.83GPTNeoXForCausalLM
TinyLlama-1.1B-intermediate-step-1431k-3TPretrained Models1136.4233.8760.3126.0437.3259.511.44LlamaForCausalLM
xglm-7.5BPretrained Models7536.3834.1360.7727.7936.6658.720.23XGLMForCausalLM
Cerebras-GPT-6.7BPretrained Models6736.2735.0759.3625.9338.0258.720.53?
gpt-neo-2.7BPretrained Models27.236.233.3656.2426.4539.7860.061.29GPTNeoForCausalLM
StellarX-4B-V0.2Pretrained Models4036.1534.6456.7425.5538.5561.40.0GPTNeoXForCausalLM
bloom-3bPretrained Models3036.0735.7554.3726.5940.5757.621.52BloomForCausalLM
ShearedLlama-1.3b-FFT-Test1Pretrained Models1335.7132.6859.9925.6936.9758.720.23LlamaForCausalLM
palmyra-basePretrained Models035.1831.9155.3927.1537.5758.090.99GPT2LMHeadModel
pythia-1.4b-dedupedPretrained Models1435.032.6854.9625.5638.6657.30.83GPTNeoXForCausalLM
pythia-1.3bPretrained Models13.134.4631.1451.4326.5539.2457.380.99Unknown
PULI-GPTrioPretrained Models034.4230.7253.4924.7339.0357.770.76GPTNeoXForCausalLM
TinyLlama-1.1B-intermediate-step-480k-1TPretrained Models10.334.3730.8952.9725.039.5557.30.53Unknown
stablelm-base-alpha-7bPretrained Models7034.3732.051.7826.2140.1955.410.61GPTNeoXForCausalLM
xglm-4.5BPretrained Models50.834.3131.4857.9525.4335.8454.930.23XGLMForCausalLM
gpt-sw3-1.3bPretrained Models14.434.3130.3850.426.1439.9758.880.08GPT2LMHeadModel
TinyLlama-1.1B-intermediate-step-240k-503bPretrained Models1133.7229.2749.7126.2640.1756.590.3Unknown
gpt-neo-1.3BPretrained Models13.733.5831.2348.4724.8239.6356.910.45GPTNeoForCausalLM
polyglot-ko-12.8bPretrained Models130.633.3327.0551.6826.6434.6959.750.15GPTNeoXForCausalLM
Cerebras-GPT-2.7BPretrained Models2733.2529.149.2925.1741.3754.140.45?
gpt3-finnish-13BPretrained Models13032.9524.6646.7623.4944.4758.010.3BloomModel
pythia-1b-dedupedPretrained Models10.832.7829.149.6524.2738.9453.591.14GPTNeoXForCausalLM
codegen-6B-multiPretrained Models6032.4327.2241.1125.7145.6553.910.99CodeGenForCausalLM
bilingual-gpt-neox-4b-8kPretrained Models39.532.2328.5843.9425.3847.4847.990.0GPTNeoXForCausalLM
bilingual-gpt-neox-4bPretrained Models39.532.1429.1843.7323.145.051.850.0GPTNeoXForCausalLM
TinyLlama-1.1B-step-50K-105bPretrained Models1131.8625.8544.126.7839.5154.380.53Unknown
pythia-410mPretrained Models5.131.5526.1940.8527.2541.2253.120.68GPTNeoXForCausalLM
stablelm-base-alpha-3bPretrained Models3031.526.4542.2425.4340.553.910.45GPTNeoXForCausalLM
Cerebras-GPT-1.3BPretrained Models1331.326.2838.5426.5942.753.430.23?
pythia-410m-dedupedPretrained Models5.131.2924.8341.2925.9940.9554.380.3GPTNeoXForCausalLM
gpt-sw3-356mPretrained Models4.730.4123.6337.0525.9342.5553.040.23GPT2LMHeadModel
megatron-gpt2-345mPretrained Models3.830.424.2339.1824.3241.5152.960.23GPT2LMHeadModel
fbopt-350m-8bitPretrained Models3.330.2123.5536.626.2240.9752.641.29OPTForCausalLM
LiteLlama-460M-1TPretrained Models4.630.1624.8338.3925.9641.5950.20.0LlamaForCausalLM
Orca-2-7b-f16Pretrained Models7030.1529.6125.6226.748.3650.590.0LlamaForCausalLM
opt-350mPretrained Models3.530.0123.5536.7326.0240.8352.640.3OPTForCausalLM
xglm-564MPretrained Models5.629.5524.5734.6425.1840.4352.250.23XGLMForCausalLM
mistral7b-test001Pretrained Models75.829.4924.6626.7823.1250.0752.330.0Unknown
gpt-neo-125mPretrained Models1.529.4722.9530.2625.9745.5851.780.3GPTNeoForCausalLM
smol_llama-220M-GQAPretrained Models2.229.4424.8329.7625.8544.5550.990.68LlamaForCausalLM
tiny_starcoder_pyPretrained Models1.629.4120.9928.7726.7947.6851.220.99GPTBigCodeForCausalLM
Cerebras-GPT-256MPretrained Models2.629.3822.0128.9926.8345.9852.490.0?
pythia-160m-dedupedPretrained Models2.129.3824.0631.3924.8644.3451.380.23GPTNeoXForCausalLM
DeciCoder-1bPretrained Models11.129.3721.1631.0924.3447.0550.831.74DeciCoderForCausalLM
SmolLlamix-8x101M-take2Pretrained Models429.3523.9828.4325.0745.8752.250.53MixtralForCausalLM
test-modelPretrained Models029.3124.430.1725.8844.5950.830.0Unknown
TinyMistral-v2.5-MiniPile-Guidelines-E1Pretrained Models029.1626.5425.6523.4449.949.410.0MistralForCausalLM
TinyMistral-v2.5-MiniPile-Guidelines-E1Pretrained Models029.1526.4525.6823.5349.8549.410.0MistralForCausalLM
pythia-31m-KI_v1-2048-scratchPretrained Models0.329.1523.1225.2323.1251.6751.780.0GPTNeoXForCausalLM
opt-125mPretrained Models1.229.1522.8731.4726.0242.8751.620.08OPTForCausalLM
gpt3-finnish-largePretrained Models029.1121.7632.8824.1144.3551.540.0BloomModel
pythia-160mPretrained Models2.129.0222.7830.3424.9544.2651.540.23GPTNeoXForCausalLM
SmolLlamix-8x101MPretrained Models428.9822.728.524.6946.0951.30.61MixtralForCausalLM
smol_llama-101M-GQAPretrained Models128.9723.5528.7724.2445.7650.670.83LlamaForCausalLM
pythia-70mPretrained Models128.9321.5927.2925.947.0651.460.3Unknown
opt-125m-gqa-ub-6-best-for-KV-cachePretrained Models1.228.9324.2325.023.1249.5351.70.0OPTForCausalLM
Mixsmol-4x400M-v0.1-epoch2Pretrained Models17.728.9223.5532.625.2639.2452.640.23MixtralForCausalLM
open-calm-largePretrained Models028.8820.7329.5625.2346.5251.140.08GPTNeoXForCausalLM
pythia-31m-goodwiki-deduped-2048-scratchPretrained Models0.328.8523.1225.6623.1151.3249.880.0GPTNeoXForCausalLM
facebook-opt-6.7b-gqa-ub-16-best-for-KV-cachePretrained Models6728.8423.0425.9423.1248.9951.930.0OPTForCausalLM
pythia-31mPretrained Models0.328.8121.8427.024.9749.149.720.23GPTNeoXForCausalLM
TinyMistral-248M-v2Pretrained Models2.528.7821.2526.5623.3949.651.850.0MistralForCausalLM
verysmol_llama-v11-KIx2Pretrained Models0.628.722.727.625.2844.7551.540.3LlamaForCausalLM
facebook-opt-125m-qcqa-ub-6-best-for-KV-cachePretrained Models1.228.6624.2325.023.1248.4151.220.0OPTForCausalLM
nano-phi-115M-v0.1Pretrained Models1.228.6621.9327.8625.3446.050.830.0PhiForCausalLM
pythia-31m-simplewiki-scratch-bf16Pretrained Models0.328.6122.7825.6123.1249.6550.510.0GPTNeoXForCausalLM
pythia-31m-simplepile-lite-2048-scratch-2ePretrained Models0.328.621.5925.7924.9950.6248.620.0GPTNeoXForCausalLM
facebook-opt-6.7b-qcqa-ub-16-best-for-KV-cachePretrained Models6728.5823.8127.0523.1246.6950.830.0OPTForCausalLM
gpt2Pretrained Models1.428.5322.0131.5325.8340.6950.430.68GPT2LMHeadModel
gpt_bigcode-santacoderPretrained Models11.228.4921.1630.8424.9745.6447.830.53GPTBigCodeForCausalLM
gpt-sw3-126mPretrained Models1.928.4922.1829.5424.4344.0350.670.08GPT2LMHeadModel
Mixtral-GQA-400m-v2Pretrained Models20.128.4520.2227.7826.146.5549.960.08MixtralForCausalLM
gpt-sw3-126mPretrained Models1.928.4522.0129.5624.5344.0750.430.08GPT2LMHeadModel
pythia-70m-dedupedPretrained Models128.4421.0827.1725.2647.5149.640.0GPTNeoXForCausalLM
boomer-1bPretrained Models1028.4422.7831.5825.6639.1750.510.91LlamaForCausalLM
TinyMistral-v2-Test1Pretrained Models028.4221.526.7923.3650.348.540.0MistralForCausalLM
gpt2_testPretrained Models1.428.421.8431.625.8640.6750.120.3GPT2LMHeadModel
facebook-opt-125m-qcqa-ub-6-best-for-q-lossPretrained Models1.228.3723.2925.5723.1549.0349.170.0OPTForCausalLM
pythia-31mPretrained Models0.328.319.9726.3424.2750.1249.090.0GPTNeoXForCausalLM
ko-wand-136MPretrained Models1.428.2921.3325.023.5850.6849.170.0MistralForCausalLM
pythia-31m-simplewiki-2048Pretrained Models0.328.2722.1825.5523.1249.3749.410.0GPTNeoXForCausalLM
facebook-opt-6.7b-qcqa-ub-16-best-for-q-lossPretrained Models6728.2521.6726.6523.1546.8151.220.0OPTForCausalLM
KoRWKV-6BPretrained Models65.328.1922.132.1824.6939.0551.140.0RwkvForCausalLM
smol_llama-81M-tiedPretrained Models0.828.1722.1829.3324.0643.9749.250.23LlamaForCausalLM
gpt3-finnish-smallPretrained Models027.9520.4828.0924.4746.4748.220.0BloomModel
Cerebras-GPT-111MPretrained Models1.127.7520.2226.7325.5146.3147.750.0?
TinyMistral-248mPretrained Models2.527.7322.8728.0223.1542.5249.80.0Unknown
mGPTPretrained Models027.6123.8126.3725.1739.6250.670.0GPT2LMHeadModel
mptk-1bPretrained Models13.120.8422.725.4827.110.049.720.0MptForCausalLM
mpt-125m-c4Pretrained Models1.220.0722.725.0423.120.049.570.0MPTForCausalLM
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