Go Bruins V2.1.1 6.0bpw H6 EXL2 2 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)
Go Bruins V2.1.1 6.0bpw H6 EXL2 2 Parameters and Internals
| LLM Name | Go Bruins V2.1.1 6.0bpw H6 EXL2 2 |
| Repository 🤗 | https://huggingface.co/LoneStriker/go-bruins-v2.1.1-6.0bpw-h6-exl2-2 |
| Required VRAM | 5.6 GB |
| Updated | 2024-09-07 |
| Maintainer | LoneStriker |
| Model Type | mistral |
| Model Files | |
| Quantization Type | exl2 |
| Model Architecture | MistralForCausalLM |
| License | cc |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.1 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Go Bruins V2.1.1 6.0bpw H6 EXL2 2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| NemoMix Unleashed EXL2 4bpw | 1000K / 7.3 GB | 60 | 3 |
| ...cr To Json V1 HQQ 1bit Smashed | 32K / 1.6 GB | 5 | 0 |
| ...cr To Json V1 HQQ 4bit Smashed | 32K / 4.2 GB | 5 | 0 |
| ScikitLLM Model EXL2 | 32K / 3 GB | 3 | 1 |
| Chargen V2 8bpw EXL2 | 32K / 7.4 GB | 9 | 1 |
| ...tral PairRM DPO 8.0bpw H8 EXL2 | 32K / 7.4 GB | 3 | 2 |
| HamSter 0.2 8.0bpw H8 EXL2 | 32K / 7.4 GB | 9 | 1 |
| ...N L1 Chat RL V1.3.0bpw H6 EXL2 | 32K / 3 GB | 30 | 0 |
| ...N L1 Chat RL V1.6.0bpw H6 EXL2 | 32K / 5.6 GB | 11 | 1 |
| ...Bruins V2.1.1 8.0bpw H8 EXL2 2 | 32K / 7.4 GB | 13 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/go-bruins-v2.1.1-6.0bpw-h6-exl2-2 .
Rank the Go Bruins V2.1.1 6.0bpw H6 EXL2 2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803