Model Card on HF 🤗: https://huggingface.co/nrml34/skybound-mysteries
Skybound Mysteries 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)
Skybound Mysteries Parameters and Internals
| Training Details |
|
| LLM Name | Skybound Mysteries |
| Repository 🤗 | https://huggingface.co/nrml34/skybound-mysteries |
| Model Size | 7b |
| Required VRAM | 4.4 GB |
| Updated | 2024-10-19 |
| Maintainer | nrml34 |
| Model Type | mistral |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf|q4|q4_k |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.2 |
| Padding Token | <|pad|> |
| Vocabulary Size | 32008 |
| Torch Data Type | bfloat16 |
Best Alternatives to Skybound Mysteries
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| MegaBeam Mistral 7B 300K Gguf | 282K / 5 GB | 11 | 3 |
| Boptruth Agatha 7B | 32K / 14.4 GB | 135 | 0 |
| Mistral 7B Instruct V0.2.gguf | 32K / 14.5 GB | 30 | 3 |
| Mistral 7B Instruct V0.2 GGUF | 32K / 4.4 GB | 24 | 2 |
| Mistroll 7B V2.2 | 32K / 14.4 GB | 43136 | 12 |
| ...andle Mistral 7B Instruct V0.2 | 32K / 14.4 GB | 37 | 0 |
| Mahou 1.2a Mistral 7B | 32K / 14.4 GB | 59 | 6 |
| Moxin Chat 7B | 32K / 0.9 GB | 236 | 32 |
| Mistral V0.3 7B Cybersecurity | 32K / 14.5 GB | 37 | 1 |
| BioMistralMerged | 32K / 14.4 GB | 4554 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than nrml34/skybound-mysteries .
Rank the Skybound Mysteries Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124