NexusMistral2 7B Slerp is an open-source language model by allknowingroger. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Instruction-Based, Merged, HF Score: 68.2, LLM Explorer Score: 0.14, Arc: 66.3, HellaSwag: 84.7, MMLU: 63, TruthfulQA: 60.8, WinoGrande: 79.6, GSM8K: 54.7.
Merged Model Autotrain compatible Base model:mistralai/mistral-7... Base model:nexusflow/starling-... Conversational Endpoints compatible Instruct Mistral Mistralai/mistral-7b-instruct-... Nexusflow/starling-lm-7b-beta Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/allknowingroger/NexusMistral2-7B-slerp
NexusMistral2 7B Slerp Benchmarks
ARC: 66.3 vs 96.7 (so35)-31.4%
HellaSwag: 84.74 vs 95.3 (gpt4)-11.1%
MMLU: 62.97 vs 88.3 (so35)-28.7%
TruthfulQA: 60.82 vs 59 (gpt4)3.1%
WinoGrande: 79.56 vs 87.5 (gpt4)-9.1%
GSM8K: 54.66 vs 96.4 (so35)-43.3%
LLME Score: 0.13867
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)
NexusMistral2 7B Slerp Parameters and Internals
| LLM Name | NexusMistral2 7B Slerp |
| Repository 🤗 | https://huggingface.co/allknowingroger/NexusMistral2-7B-slerp |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2025-09-22 |
| Maintainer | allknowingroger |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to NexusMistral2 7B Slerp
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...Nemo Instruct 2407 Abliterated | 1000K / 24.5 GB | 254 | 20 |
| SpydazWeb AI HumanAI RP | 512K / 14.4 GB | 14 | 1 |
| SpydazWeb AI HumanAI 002 | 512K / 14.4 GB | 18 | 1 |
| ...daz Web AI ChatML 512K Project | 512K / 14.5 GB | 12 | 0 |
| ... Summarize 64K QLoRANET Merged | 128K / 4.1 GB | 6 | 0 |
| ...1 Summarize 64K LoRANET Merged | 128K / 14.4 GB | 6 | 0 |
| Mistral 7B Instruct V0.2 | 32K / 14.4 GB | 3316095 | 2630 |
| Mistral 7B Instruct V0.1 | 32K / 14.4 GB | 366737 | 1829 |
| Mistral 7B Instruct V0.2 | 32K / 14.4 GB | 5759 | 0 |
| Mixtral AI CyberCoder | 32K / 14.3 GB | 0 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than allknowingroger/NexusMistral2-7B-slerp .
Rank the NexusMistral2 7B Slerp Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a