Base model:cognitivecomputatio... Base model:quantized:cognitive... Conversational Dataset:ehartford/dolphin Dataset:ehartford/dolphin-code... Dataset:ise-uiuc/magicoder-evo... Dataset:ise-uiuc/magicoder-oss... Dataset:jondurbin/airoboros-2.... Dataset:ldjnr/capybara Dataset:teknium/openhermes En Gguf Instruct Phi-msft Quantized Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/dolphin-2_6-phi-2-GGUF
Dolphin 2 6 Phi 2 GGUF 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)
Dolphin 2 6 Phi 2 GGUF Parameters and Internals
| LLM Name | Dolphin 2 6 Phi 2 GGUF |
| Repository 🤗 | https://huggingface.co/TheBloke/dolphin-2_6-phi-2-GGUF |
| Model Name | Dolphin 2.6 Phi 2 |
| Model Creator | Cognitive Computations |
| Base Model(s) | |
| Required VRAM | 1.2 GB |
| Updated | 2025-03-13 |
| Maintainer | TheBloke |
| Model Type | phi-msft |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
| License | other |
Best Alternatives to Dolphin 2 6 Phi 2 GGUF
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...ixtral 8x7B Instruct V0.1 GGUF | 0K / 15.6 GB | 24227 | 610 |
| Dolphin 2.5 Mixtral 8x7b GGUF | 0K / 15.6 GB | 6705 | 301 |
| Phi 3 Mini 4K Instruct GGUF | 0K / 1.4 GB | 1983 | 16 |
| Dolphin 2.7 Mixtral 8x7b GGUF | 0K / 15.6 GB | 6162 | 137 |
| Spydaz Web AI | 0K / 4.4 GB | 216 | 3 |
| ...i 3 Mini 4K Instruct V0.3 GGUF | 0K / 1.4 GB | 227 | 5 |
| Phi 3 Mini 4K Instruct | 0K / 2.3 GB | 46 | 0 |
| Dictalm2.0 Instruct GGUF | 0K / 4.4 GB | 512 | 5 |
| Autocomplete Model | 0K / 4.1 GB | 23 | 0 |
| Dre Phi Gguf | 0K / 2.3 GB | 23 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/dolphin-2_6-phi-2-GGUF .
Rank the Dolphin 2 6 Phi 2 GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227