internlm2-chat-7b-sft-GGUF
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internlm2-math-plus-1_8b-GGUF
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View details ↗internlm2-math-plus-7b-GGUF
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View details ↗internlm2-step-prover-GGUF
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View details ↗jais-adapted-7b-chat-GGUF
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View details ↗Josiefied-Qwen2.5-7B-Instruct-abliterated-GGUF
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View details ↗Josiefied-Qwen2-7B-Instruct-abliterated-GGUF
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View details ↗karakuri-lm-7b-apm-v0.2-GGUF
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View details ↗KingNish-Llama3-8b-GGUF
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View details ↗KingNish-Llama3-8b-v0.2-GGUF
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View details ↗ko-gemma-2-9b-it-GGUF
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View details ↗Ko-Llama-3.1-8B-Lexi-Uncensored-V2-GGUF
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View details ↗KONI-Llama3-8B-20240630-GGUF
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View details ↗KoSOLAR-10.7B-v0.2-GGUF
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View details ↗KULLM3-GGUF
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View details ↗Kunoichi-DPO-v2-7B-GGUF
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View details ↗L3.1-Aglow-Vulca-v0.1-8B-GGUF
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View details ↗L3.1-Celestial-Stone-2x8B-DPO-GGUF
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View details ↗L3.1-Niitorm-8B-t0.0001-GGUF
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View details ↗L3.1-Purosani-2-8B-GGUF
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View details ↗L3.1-Storniitova-8B-GGUF
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View details ↗L3-8B-Stheno-v3.1-GGUF
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View details ↗L3-8B-Stheno-v3.2-GGUF
QuantFactory*Just message me on discord if you want to host this privately for a service or something. We can talk.* *Train used 1x H100 SXM for like a total of 24 Hours over multiple runs.* `Art by navy_(navy.blue)` - Danbooru I have done a test run with multiple variations of the models, merged back to its base at various weights, different training runs too, and this Sixth iteration is the one I like most.
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COST EXPLORER
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Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.