Mistral 7B Slerp Merge Instruct Open Orca is an open-source language model by jpquiroga. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Instruction-Based, Merged, HF Score: 63.4, LLM Explorer Score: 0.15, Arc: 62.6, HellaSwag: 81.7, MMLU: 61.8, TruthfulQA: 56.4, WinoGrande: 77.2, GSM8K: 40.7.
Merged Model Base model:mistralai/mistral-7... Base model:open-orca/mistral-7... Conversational Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/jpquiroga/Mistral_7B_slerp_merge_instruct_open_orca
Mistral 7B Slerp Merge Instruct Open Orca Benchmarks
ARC: 62.63 vs 96.7 (so35)-35.2%
HellaSwag: 81.7 vs 95.3 (gpt4)-14.3%
MMLU: 61.76 vs 88.3 (so35)-30.1%
TruthfulQA: 56.35 vs 59 (gpt4)-4.5%
WinoGrande: 77.19 vs 87.5 (gpt4)-11.8%
GSM8K: 40.71 vs 96.4 (so35)-57.8%
LLME Score: 0.14684
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)
Mistral 7B Slerp Merge Instruct Open Orca Parameters and Internals
| Additional Notes |
|
| LLM Name | Mistral 7B Slerp Merge Instruct Open Orca |
| Repository 🤗 | https://huggingface.co/jpquiroga/Mistral_7B_slerp_merge_instruct_open_orca |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2026-04-01 |
| Maintainer | jpquiroga |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.39.3 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Mistral 7B Slerp Merge Instruct Open Orca
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| ...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 | 357107 | 1828 |
| 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 jpquiroga/Mistral_7B_slerp_merge_instruct_open_orca .
Rank the Mistral 7B Slerp Merge Instruct Open Orca Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a