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mistral-nemo-instruct-2407-12b-thinking-m-claude-opus-high-reasoning-i1
The model described in this repository is the **Mistral-Nemo-Instruct-2407-12B** (12 billion parameters), a large language model optimized for instruction tuning and high-level reasoning tasks. It is a **quantized version** of the original model, compressed for efficiency while retaining key capabilities. The model is designed to generate human-like text, perform complex reasoning, and support multi-modal tasks, making it suitable for applications requiring strong language understanding and output.

Repository: localai

mistral-nemo-instruct-2407
The Mistral-Nemo-Instruct-2407 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-Nemo-Base-2407. Trained jointly by Mistral AI and NVIDIA, it significantly outperforms existing models smaller or similar in size.

Repository: localaiLicense: apache-2.0

mn-12b-celeste-v1.9
Mistral Nemo 12B Celeste V1.9 This is a story writing and roleplaying model trained on Mistral NeMo 12B Instruct at 8K context using Reddit Writing Prompts, Kalo's Opus 25K Instruct and c2 logs cleaned This version has improved NSFW, smarter and more active narration. It's also trained with ChatML tokens so there should be no EOS bleeding whatsoever.

Repository: localaiLicense: apache-2.0

mistral-nemo-prism-12b
Mahou-1.5-mistral-nemo-12B-lorablated finetuned on Arkhaios-DPO and Purpura-DPO. The goal was to reduce archaic language and purple prose in a completely uncensored model.

Repository: localaiLicense: apache-2.0

mn-chunky-lotus-12b
I had originally planned to use this model for future/further merges, but decided to go ahead and release it since it scored rather high on my local EQ Bench testing (79.58 w/ 100% parsed @ 8-bit). Bear in mind that most models tend to score a bit higher on my own local tests as compared to their posted scores. Still, its the highest score I've personally seen from all the models I've tested. Its a decent model, with great emotional intelligence and acceptable adherence to various character personalities. It does a good job at roleplaying despite being a bit bland at times. Overall, I like the way it writes, but it has a few formatting issues that show up from time to time, and it has an uncommon tendency to paste walls of character feelings/intentions at the end of some outputs without any prompting. This is something I hope to correct with future iterations. This is a merge of pre-trained language models created using mergekit. The following models were included in the merge: Epiculous/Violet_Twilight-v0.2 nbeerbower/mistral-nemo-gutenberg-12B-v4 flammenai/Mahou-1.5-mistral-nemo-12B

Repository: localaiLicense: cc-by-4.0

mn-12b-mag-mell-r1-iq-arm-imatrix
This is a merge of pre-trained language models created using mergekit. Mag Mell is a multi-stage merge, Inspired by hyper-merges like Tiefighter and Umbral Mind. Intended to be a general purpose "Best of Nemo" model for any fictional, creative use case. 6 models were chosen based on 3 categories; they were then paired up and merged via layer-weighted SLERP to create intermediate "specialists" which are then evaluated in their domain. The specialists were then merged into the base via DARE-TIES, with hyperparameters chosen to reduce interference caused by the overlap of the three domains. The idea with this approach is to extract the best qualities of each component part, and produce models whose task vectors represent more than the sum of their parts. The three specialists are as follows: Hero (RP, kink/trope coverage): Chronos Gold, Sunrose. Monk (Intelligence, groundedness): Bophades, Wissenschaft. Deity (Prose, flair): Gutenberg v4, Magnum 2.5 KTO. I've been dreaming about this merge since Nemo tunes started coming out in earnest. From our testing, Mag Mell demonstrates worldbuilding capabilities unlike any model in its class, comparable to old adventuring models like Tiefighter, and prose that exhibits minimal "slop" (not bad for no finetuning,) frequently devising electrifying metaphors that left us consistently astonished. I don't want to toot my own bugle though; I'm really proud of how this came out, but please leave your feedback, good or bad.Special thanks as usual to Toaster for his feedback and Fizz for helping fund compute, as well as the KoboldAI Discord for their resources. The following models were included in the merge: IntervitensInc/Mistral-Nemo-Base-2407-chatml nbeerbower/mistral-nemo-bophades-12B nbeerbower/mistral-nemo-wissenschaft-12B elinas/Chronos-Gold-12B-1.0 Fizzarolli/MN-12b-Sunrose nbeerbower/mistral-nemo-gutenberg-12B-v4 anthracite-org/magnum-12b-v2.5-kto

Repository: localaiLicense: unlicense