Arxiv:1910.09700 Autotrain compatible En Endpoints compatible Llama Meme++ Pytorch Region:us Safetensors Tiny W++
Memepp Llama 512v 6l 8h 256e 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)
Memepp Llama 512v 6l 8h 256e Parameters and Internals
| LLM Name | Memepp Llama 512v 6l 8h 256e |
| Repository 🤗 | https://huggingface.co/mrsteyk/memepp-llama-512v-6l-8h-256e |
| Model Size | 5.4m |
| Required VRAM | 0 GB |
| Updated | 2024-09-16 |
| Maintainer | mrsteyk |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| Model Architecture | LlamaForCausalLM |
| License | wtfpl |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.28.1 |
| Tokenizer Class | LlamaTokenizer |
| Beginning of Sentence Token | <s> |
| End of Sentence Token | </s> |
| Unk Token | <unk> |
| Vocabulary Size | 512 |
| Torch Data Type | float32 |
Best Alternatives to Memepp Llama 512v 6l 8h 256e
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pallas 0.5 LASER 0.6 AWQ | 195K / 19.3 GB | 10 | 1 |
| Pallas 0.5 AWQ | 195K / 19.3 GB | 7 | 1 |
| Pallas 0.3 AWQ | 195K / 19.3 GB | 14 | 1 |
| Pallas 0.4 AWQ | 195K / 19.3 GB | 11 | 1 |
| Tess M V1.3 AWQ | 195K / 19.3 GB | 22 | 1 |
| Tess M V1.2 AWQ | 195K / 19.3 GB | 12 | 1 |
| Tess M V1.1 AWQ | 195K / 19.3 GB | 13 | 1 |
| Tess M Creative V1.0 AWQ | 195K / 19.3 GB | 9 | 1 |
| UNA 34Beagles 32K Bf16 V1 GPTQ | 32K / 19.2 GB | 25 | 3 |
| PiVoT SUS RP AWQ | 8K / 19.3 GB | 8 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than mrsteyk/memepp-llama-512v-6l-8h-256e .
Rank the Memepp Llama 512v 6l 8h 256e Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803