Model Card on HF 🤗: https://huggingface.co/TheBloke/trinity-v1.2-x8-MoE-GPTQ
Trinity V1.2 X8 MoE GPTQ 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)
Trinity V1.2 X8 MoE GPTQ Parameters and Internals
| Model Type |
|
| LLM Name | Trinity V1.2 X8 MoE GPTQ |
| Repository 🤗 | https://huggingface.co/TheBloke/trinity-v1.2-x8-MoE-GPTQ |
| Model Name | Trinity v1.2 x8 MoE |
| Model Creator | Cross Nastasi |
| Base Model(s) | |
| Model Size | 6.1b |
| Required VRAM | 23.8 GB |
| Updated | 2025-09-23 |
| Maintainer | TheBloke |
| Model Type | mixtral |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <s> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Trinity V1.2 X8 MoE GPTQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...ixtral 8x7B Instruct V0.1 GPTQ | 32K / 23.8 GB | 204520 | 138 |
| Mixtral 8x7B V0.1 GPTQ | 32K / 23.8 GB | 1626 | 127 |
| ...Hermes 2 Mixtral 8x7B DPO GPTQ | 32K / 23.8 GB | 2103 | 26 |
| ...tLM Mixtral 8x7B Instruct GPTQ | 32K / 23.8 GB | 1373 | 3 |
| Dolphin 2.5 Mixtral 8x7b GPTQ | 32K / 23.8 GB | 55 | 114 |
| ...Hermes 2 Mixtral 8x7B SFT GPTQ | 32K / 23.8 GB | 13 | 11 |
| Dolphin 2.7 Mixtral 8x7b GPTQ | 32K / 23.8 GB | 78 | 19 |
| Bagel DPO 8x7b V0.2 GPTQ | 32K / 23.8 GB | 5 | 2 |
| Open Gpt4 8x7B V0.2 GPTQ | 32K / 23.8 GB | 9 | 6 |
| ...xtral Instruct 8x7b Zloss GPTQ | 32K / 23.8 GB | 11 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/trinity-v1.2-x8-MoE-GPTQ .
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124