NexusRaven V2 13B AWQ is an open-source language model by sAmBiT77. Features: 13b LLM, VRAM: 7.2GB, Context: 16K, License: apache-2.0, Quantized, HF Score: 48.2, LLM Explorer Score: 0.15, Arc: 45.1, HellaSwag: 67.4, MMLU: 44.9, TruthfulQA: 44.5, WinoGrande: 66.4, GSM8K: 20.9.
4-bit Awq Dataset:wikitext Endpoints compatible Function calling Llama Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/NaiveAttention/NexusRaven-V2-13B-awq
NexusRaven V2 13B AWQ Benchmarks
ARC: 45.14 vs 96.7 (so35)-53.3%
HellaSwag: 67.4 vs 95.3 (gpt4)-29.3%
MMLU: 44.88 vs 88.3 (so35)-49.2%
TruthfulQA: 44.54 vs 59 (gpt4)-24.5%
WinoGrande: 66.38 vs 87.5 (gpt4)-24.1%
GSM8K: 20.92 vs 96.4 (so35)-78.3%
LLME Score: 0.14975
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)
NexusRaven V2 13B AWQ Parameters and Internals
| LLM Name | NexusRaven V2 13B AWQ |
| Repository 🤗 | https://huggingface.co/NaiveAttention/NexusRaven-V2-13B-awq |
| Model Name | NexusRaven V2 13B |
| Model Creator | Nexusflow |
| Model Size | 13b |
| Required VRAM | 7.2 GB |
| Updated | 2026-03-24 |
| Maintainer | sAmBiT77 |
| Model Type | llama |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 16384 |
| Model Max Length | 16384 |
| Transformers Version | 4.37.2 |
| Tokenizer Class | CodeLlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32024 |
| Torch Data Type | float16 |
Best Alternatives to NexusRaven V2 13B AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Yarn Llama 2 13B 128K AWQ | 128K / 7.2 GB | 7 | 2 |
| LongAlign 13B 64K AWQ | 64K / 7.2 GB | 3 | 2 |
| ...oboros L2 13B 2 1 YaRN 64K AWQ | 64K / 7.2 GB | 13 | 2 |
| OrcaMaid V3 13B 32K AWQ | 32K / 7.2 GB | 2 | 4 |
| OrcaMaid V2 FIX 13B 32K AWQ | 32K / 7.2 GB | 5 | 1 |
| NexusRaven V2 13B AWQ | 16K / 7.2 GB | 11 | 3 |
| WhiteRabbitNeo 13B AWQ | 16K / 7.2 GB | 4105 | 4 |
| ...th CodeLlama 13B Python Hf AWQ | 16K / 7.5 GB | 6 | 0 |
| NexusRaven V2 13B AWQ | 16K / 7.2 GB | 19 | 1 |
| Ramgpt 13B AWQ Gemm | 16K / 7.2 GB | 0 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than NaiveAttention/NexusRaven-V2-13B-awq .
Rank the NexusRaven V2 13B AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a