-t open_instruct_dev # if you are interally at AI2, you can create an image like this: beaker_user=$(beaker account whoami --format json | jq -r '.[0].name') beaker image delete $beaker_user/open_instruct_dev beaker image create open_instruct_dev -n open_instruct_dev -w ai2/...
docker build -f Dockerfile.uv -t open_instruct_dev_uv . # if you are interally at AI2, you can create an image like this: beaker_user=$(beaker account whoami --format json | jq -r '.[0].name') beaker image delete $beaker_user/open_instruct_dev_uv beaker image create open_inst...
Hi, I noticed in scripts/eval/bbh.sh, if two or more CUDA devices are available, for example, CUDA_VISIBLE_DEVICES=0,1, it will give "Expected all tensors to be on the same device, but found at least two devices" error. If using auto instead of balanced_low_0 for device_map, ...
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最后，研究人员将上述的合成数据与现有的通用领域+科学领域的指令调优数据混合，并确保50%的训练数据来自科学领域。在这些数据上，团队将Llama 3.1 8B Instruct训练成了OpenScholar LM。全新基准ScholarQABench ScholarQABench基准旨在评估模型理解和综合现有研究的能力。之前的基准一般会预先划定范围，假设可以在某一篇论文...
Rallio67/chip_(20,12,7)B_instruct_alpha togethercomputer/GPT-NeoXT-Chat-Base-20B Safety models SummerSigh/T5-Base-Rule-Of-Thumb SummerSigh/Safety-Policy SummerSigh/BART-Base-Rule-Of-Thumb shahules786/prosocial-classifier shahules786/Safetybot-mt5-base shahules786/Safetybot-T5-base togethercomp...
由于GLM-4-9B在预训练过程中加入了部分数学、推理、代码相关的 instruction 数据,所以将 Llama-3-8B-Instruct 也列入比较范围。 长文本 在1M 的上下文长度下进行大海捞针实验,结果如下: 在LongBench-Chat 上对长文本能力进行了进一步评测,结果如下: 在六个多语言数据集上对 GLM-4-9B-Chat 和 Llama-3-8B-Inst...
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MATH: It's important to note that the official score for llama3.1-8b-instruct on MATH is 51.9, but this was achieved in a CoT (Chain of Thought) setting. In our evaluation, we reproduced the result in a zero-shot setting, where llama3.1-8b-instruct scored lower at 47.42, while our ...
We would also like to mentionA Comprehensive Survey on Long Context Language Modeling(Github), a concurrent survey that provides a collection of papers and resources focused on Long Context Language Modeling. They also provide a clear taxonomy and valuable insights about long-context LLMs. More ref...