Nemo Subseq Perseq E1.5 is an open-source language model by kalomaze. Features: 12.2b LLM, VRAM: 24.5GB, Context: 128K, LLM Explorer Score: 0.19.
Model Card on HF 🤗: https://huggingface.co/kalomaze/nemo-subseq-perseq-e1.5
Nemo Subseq Perseq E1.5 Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Nemo Subseq Perseq E1.5 Parameters and Internals
| LLM Name | Nemo Subseq Perseq E1.5 |
| Repository 🤗 | https://huggingface.co/kalomaze/nemo-subseq-perseq-e1.5 |
| Model Size | 12.2b |
| Required VRAM | 24.5 GB |
| Updated | 2025-09-23 |
| Maintainer | kalomaze |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.51.1 |
| Tokenizer Class | PreTrainedTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 131072 |
| Torch Data Type | bfloat16 |
Best Alternatives to Nemo Subseq Perseq E1.5
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...aptain Eris Violet GRPO V0.420 | 1000K / 24.5 GB | 195 | 24 |
| ...ish Mistral Nemo Instruct 2407 | 1000K / 24.5 GB | 77 | 2 |
| Violet Twilight V0.2 | 1000K / 24.5 GB | 159 | 44 |
| Mistral Nemo Kurdish | 1000K / 24.5 GB | 14 | 3 |
| Tess Embed Fix Maybe | 1000K / 24.5 GB | 13 | 0 |
| Funny Nemo Embedding Testing | 1000K / 24.5 GB | 8 | 1 |
| 12BTRU | 1000K / 24.5 GB | 21 | 0 |
| A Strange Nemo Model | 1000K / 24.5 GB | 9 | 0 |
| Another Strange Nemo Model | 1000K / 24.5 GB | 7 | 0 |
| Kalypso | 1000K / 24.5 GB | 4 | 19 |
Note: green Score (e.g. "73.2") means that the model is better than kalomaze/nemo-subseq-perseq-e1.5 .
Rank the Nemo Subseq Perseq E1.5 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260327b