Model Card on HF 🤗: https://huggingface.co/DanielClough/Candle_Hermes-Trismegistus-Mistral-7B
Candle Hermes Trismegistus Mistral 7B 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)
Candle Hermes Trismegistus Mistral 7B Parameters and Internals
| LLM Name | Candle Hermes Trismegistus Mistral 7B |
| Repository 🤗 | https://huggingface.co/DanielClough/Candle_Hermes-Trismegistus-Mistral-7B |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2026-01-19 |
| Maintainer | DanielClough |
| Model Type | mistral |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | q4|gguf |
| Generates Code | Yes |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.34.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32002 |
| Torch Data Type | float16 |
Best Alternatives to Candle Hermes Trismegistus Mistral 7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Damysus Coder V0.1 | 32K / 14.4 GB | 6 | 0 |
| The Trinity Coder 7B EXL2 5bpw | 32K / 4.7 GB | 13 | 2 |
| ...stus Mistral 7B 4.0bpw H6 EXL2 | 32K / 3.9 GB | 9 | 1 |
| SpydazWeb AI HumanAI RP | 512K / 14.4 GB | 17 | 1 |
| SpydazWeb AI HumanAI 002 | 512K / 14.4 GB | 18 | 1 |
| Threebird 7B | 32K / 14.5 GB | 5 | 0 |
| Mistral 7B Merged | 32K / 14.5 GB | 6 | 0 |
| Jett W26 Abliterated | 32K / 14.4 GB | 3 | 1 |
| Jett W26 | 32K / 14.5 GB | 6 | 1 |
| Ultra Llm Merged | 32K / 14.5 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than DanielClough/Candle_Hermes-Trismegistus-Mistral-7B .
Rank the Candle Hermes Trismegistus Mistral 7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124