Base model:quantized:teknium/o... Base model:teknium/openhermes-... Conversational En Endpoints compatible Fp16 Gguf Mistral Quantized Region:us Unsloth
Unsloth OpenHermes F16 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)
Unsloth OpenHermes F16 Parameters and Internals
| LLM Name | Unsloth OpenHermes F16 |
| Repository 🤗 | https://huggingface.co/richie-ghost/unsloth_openHermes_f16 |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 14.5 GB |
| Updated | 2024-10-18 |
| Maintainer | richie-ghost |
| Model Type | mistral |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | fp16|gguf |
| Model Architecture | AutoModel |
| License | apache-2.0 |
Best Alternatives to Unsloth OpenHermes F16
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pixel | 8K / 4.4 GB | 63 | 0 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 2.7 GB | 75620 | 3 |
| Mistral 7B Instruct V0.2 GGUF | 0K / 3.1 GB | 95301 | 389 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 1.6 GB | 7892 | 58 |
| Qwen2 7B Instruct V0.6 GGUF | 0K / 4.5 GB | 13522 | 0 |
| Qwen2 7B Instruct V0.1 GGUF | 0K / 4.5 GB | 9714 | 0 |
| Qwen2 7B Instruct V0.7 GGUF | 0K / 4.5 GB | 9530 | 0 |
| Qwen2 7B Instruct V0.3 GGUF | 0K / 4.5 GB | 8911 | 1 |
| Qwen2 7B Instruct V0.2 GGUF | 0K / 4.5 GB | 7986 | 0 |
| Qwen2 7B Instruct V0.8 GGUF | 0K / 4.5 GB | 6155 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than richie-ghost/unsloth_openHermes_f16 .
Rank the Unsloth OpenHermes F16 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803