Model Card on HF 🤗: https://huggingface.co/mpesce/Equall-Saul-Instruct-v1
Equall Saul Instruct V1 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)
Equall Saul Instruct V1 Parameters and Internals
| LLM Name | Equall Saul Instruct V1 |
| Repository 🤗 | https://huggingface.co/mpesce/Equall-Saul-Instruct-v1 |
| Required VRAM | 5.1 GB |
| Updated | 2025-02-05 |
| Maintainer | mpesce |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf|q5|q5_k |
| Model Architecture | MistralForCausalLM |
| License | mit |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.0 |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives to Equall Saul Instruct V1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...istral Nemo Instruct 2407 GGUF | 1000K / 4.8 GB | 2914 | 65 |
| ...istral Nemo Instruct 2407 GGUF | 1000K / 4.8 GB | 618 | 6 |
| ...istral C64Wizard Instruct GGUF | 32K / 4.4 GB | 10 | 0 |
| R Model | 4K / 7.6 GB | 11 | 0 |
| ...eZephir Sft Instruct Ead 16bit | 32K / 14.4 GB | 56 | 0 |
| ... Instruct Unsloth Merged 16bit | 4K / 7.6 GB | 1 | 1 |
| ... Mini 4K Instruct Bnb 4bit Ita | 4K / 7.6 GB | 2755 | 0 |
| Phi 3 Mini Hospital Topic 50 | 4K / 7.6 GB | 79 | 0 |
| MainPHI3 | 4K / 7.6 GB | 77 | 0 |
| Model | 4K / 7.6 GB | 78 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than mpesce/Equall-Saul-Instruct-v1 .
Rank the Equall Saul Instruct V1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227