Quantized GGUF versions of
allenai/OLMo-2-1124-7B-Instruct
— the Allen Institute for AI's fully open 7B language model. OLMo-2 is released under Apache 2.0 with
full training data, code, intermediate checkpoints, and evaluation data
all publicly available — the most transparent large language model at this scale.
Training Data
: Dolmino Mix 1124 — fully open dataset
License
: Apache 2.0 (commercial use OK)
Unique value
: All artifacts open — weights, data, code, evals, checkpoints
OLMo-2 is the gold standard for research reproducibility in the 7B class. If you need a model where you can trace every decision back to first principles, this is it.
Quantized by DuoNeural using llama.cpp on RTX 5090.
DuoNeural
DuoNeural
is an open AI research lab — human + AI in collaboration.
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DuoNeural OLMo-2-7B-Instruct-GGUF online free url in huggingface.co:
OLMo-2-7B-Instruct-GGUF is an open source model from GitHub that offers a free installation service, and any user can find OLMo-2-7B-Instruct-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of OLMo-2-7B-Instruct-GGUF install, users can directly use OLMo-2-7B-Instruct-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
OLMo-2-7B-Instruct-GGUF install url in huggingface.co: