4-bit Autotrain compatible Awq Base model:ba2han/bruinsv2-oph... Base model:quantized:ba2han/br... Mistral Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/BruinsV2-OpHermesNeu-11B-AWQ
BruinsV2 OpHermesNeu 11B AWQ 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)
BruinsV2 OpHermesNeu 11B AWQ Parameters and Internals
| LLM Name | BruinsV2 OpHermesNeu 11B AWQ |
| Repository 🤗 | https://huggingface.co/TheBloke/BruinsV2-OpHermesNeu-11B-AWQ |
| Model Name | BruinsV2 OpHermesNeu 11B |
| Model Creator | Batuhan S |
| Base Model(s) | |
| Model Size | 11b |
| Required VRAM | 6 GB |
| Updated | 2025-08-20 |
| Maintainer | TheBloke |
| Model Type | mistral |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | MistralForCausalLM |
| License | mit |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to BruinsV2 OpHermesNeu 11B AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Velara 11B V2 AWQ | 32K / 6.3 GB | 10 | 3 |
| Nyxene V3 11B AWQ | 32K / 6 GB | 6 | 1 |
| Nyxene V2 11B AWQ | 32K / 6 GB | 6 | 1 |
| ... Chat 3.1 Frankenmerge 11B AWQ | 32K / 6.3 GB | 13 | 2 |
| Mistral 11B OmniMix AWQ | 32K / 6 GB | 7 | 2 |
| Bielik 11B V2.2 Instruct FP8 | 32K / 11.4 GB | 232 | 3 |
| ... 11B V2.2 Instruct Quanto 8bit | 32K / 12 GB | 28 | 4 |
| Bielik 11B V2.2 Instruct AWQ | 32K / 6.2 GB | 31 | 3 |
| Bielik 11B V2.2 Instruct W8A8 | 32K / 11.5 GB | 12 | 3 |
| Nyxene V2 11B 3.0bpw H6 EXL2 | 32K / 4.3 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/BruinsV2-OpHermesNeu-11B-AWQ .
Rank the BruinsV2 OpHermesNeu 11B AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124