Merged Model 8-bit Autotrain compatible Base model:casual-autopsy/l3-s... Base model:quantized:casual-au... Conversational Emotion classification En Endpoints compatible Exl2 Llama Quantized Region:us Role-play Roleplay Rp Safetensors Sharded Summarization Tensorflow
Model Card on HF 🤗: https://huggingface.co/Slvcxc/L3-Super-Nova-RP-8B-8.0bpw-h8-exl2
L3 Super Nova RP 8B 8.0bpw H8 EXL2 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)
L3 Super Nova RP 8B 8.0bpw H8 EXL2 Parameters and Internals
| LLM Name | L3 Super Nova RP 8B 8.0bpw H8 EXL2 |
| Repository 🤗 | https://huggingface.co/Slvcxc/L3-Super-Nova-RP-8B-8.0bpw-h8-exl2 |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 8b |
| Required VRAM | 8.5 GB |
| Updated | 2025-03-22 |
| Maintainer | Slvcxc |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| Quantization Type | exl2 |
| Model Architecture | LlamaForCausalLM |
| License | llama3 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.42.3 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|eot_id|> |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to L3 Super Nova RP 8B 8.0bpw H8 EXL2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...B Instruct Gradient 1048K 4bit | 1024K / 4.5 GB | 11 | 2 |
| ...B Instruct Gradient 1048K 8bit | 1024K / 8.6 GB | 5 | 1 |
| ...truct Gradient 1048K Bpw6 EXL2 | 1024K / 6.7 GB | 7 | 2 |
| ...truct Gradient 1048K Bpw5 EXL2 | 1024K / 5.8 GB | 5 | 0 |
| Llama 3 8B Instruct 1048K 4bit | 1024K / 4.5 GB | 7 | 25 |
| Llama 3 8B Instruct 1048K 8bit | 1024K / 8.6 GB | 16 | 17 |
| ... Gradient 1048K 8.0bpw H8 EXL2 | 1024K / 8.6 GB | 7 | 3 |
| ...ct Gradient 1048K Bpw2.25 EXL2 | 1024K / 3.4 GB | 10 | 1 |
| Llama 3 8B Instruct 262K 2bit | 256K / 2.5 GB | 6 | 1 |
| ...B Instruct 262k V2 EXL2 6.0bpw | 256K / 6.7 GB | 10 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Slvcxc/L3-Super-Nova-RP-8B-8.0bpw-h8-exl2 .
Rank the L3 Super Nova RP 8B 8.0bpw H8 EXL2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227