Laser Dolphin Mixtral 2x7b DPO AWQ is an open-source language model by macadeliccc. Features: 2b LLM, VRAM: 7.1GB, Context: 32K, License: cc, MoE, Quantized, LLM Explorer Score: 0.12.
Model Card on HF 🤗: https://huggingface.co/macadeliccc/laser-dolphin-mixtral-2x7b-dpo-AWQ
Laser Dolphin Mixtral 2x7b DPO AWQ 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)
Laser Dolphin Mixtral 2x7b DPO AWQ Parameters and Internals
| Additional Notes |
|
| LLM Name | Laser Dolphin Mixtral 2x7b DPO AWQ |
| Repository 🤗 | https://huggingface.co/macadeliccc/laser-dolphin-mixtral-2x7b-dpo-AWQ |
| Model Size | 2b |
| Required VRAM | 7.1 GB |
| Updated | 2025-09-23 |
| Maintainer | macadeliccc |
| Model Type | mixtral |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | MixtralForCausalLM |
| License | cc |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Laser Dolphin Mixtral 2x7b DPO AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mixtral 7Bx2 MoE AWQ | 32K / 7.1 GB | 8 | 2 |
| Manbasya 2x7b MoE | 32K / 7.1 GB | 60 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than macadeliccc/laser-dolphin-mixtral-2x7b-dpo-AWQ .
Rank the Laser Dolphin Mixtral 2x7b DPO AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a