Dolphin 3.0 Llama 3.1 8B
Dolphin 3.0 on Llama 3.1 8B, an uncensored fine-tune, 4-bit GGUF. Chat in your browser, plus an OpenAI-compatible API.
- Engine
- llama.cpp · Q4_K_M
- Size
- 4.9 GB
- GPU memory
- 7.5 GiB or more
- Runs on
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Doesn't fit (3)
Hardware that can run this
Nothing that can run this is online right now.
20 more devices could run it, none online
| Hardware | Fits | Est. speed |
|---|---|---|
| RTX 3080 Ti · 12 GB | Q4_K_M, Q8 | 111–158 tok/s |
| M1 · 16 GB unified | Q4_K_M, Q8 | Evidence unavailable: no cited memory bandwidth for this hardware |
| M1 Pro · 16 GB unified | Q4_K_M, Q8 | 24–35 tok/s |
| M2 · 16 GB unified | Q4_K_M, Q8 | 12–18 tok/s |
| M2 Pro · 16 GB unified | Q4_K_M, Q8 | 24–35 tok/s |
| M3 · 16 GB unified | Q4_K_M, Q8 | 12–18 tok/s |
| M4 · 16 GB unified | Q4_K_M, Q8 | 14–21 tok/s |
| RX 6800 XT · 16 GB | Q4_K_M, Q8 | Evidence unavailable: no cited memory bandwidth for this hardware |
| M3 Pro · 18 GB unified | Q4_K_M, Q8 | 18–26 tok/s |
| M4 Pro · 24 GB unified | Q4_K_M, Q8, FP16 | 33–48 tok/s |
| RTX 3090 · 24 GB | Q4_K_M, Q8, FP16 | 114–162 tok/s |
| RTX 4090 · 24 GB | Q4_K_M, Q8, FP16 | 122–175 tok/s |
| RX 7900 XTX · 24 GB | Q4_K_M, Q8, FP16 | Evidence unavailable: no cited memory bandwidth for this hardware |
| M1 Max · 32 GB unified | Q4_K_M, Q8, FP16 | 48–70 tok/s |
| M2 Max · 32 GB unified | Q4_K_M, Q8, FP16 | 48–70 tok/s |
| M3 Max · 48 GB unified | Q4_K_M, Q8, FP16 | 36–52 tok/s |
| M4 Max · 48 GB unified | Q4_K_M, Q8, FP16 | 49–71 tok/s |
| M4 Pro · 48 GB unified | Q4_K_M, Q8, FP16 | 33–48 tok/s |
| Instinct MI210 · 64 GB | Q4_K_M, Q8, FP16 | Evidence unavailable: no cited memory bandwidth for this hardware |
| M4 Max · 64 GB unified | Q4_K_M, Q8, FP16 | 49–71 tok/s |
Speeds are estimates from memory bandwidth and weight size, not measured benchmarks. A price is the cheapest listed offer for that hardware.
Template details
- Rating
- No ratings yet
- Runs
- 0
- Min VRAM
- 8.1 GB
- Backend
- Set by the machine you pick
- Weights
- 4.9 GB
- Version
- llamacpp-dolphin3-0-llama3-1-8b-v1.0.0
- Image digest
- 1f4b9cf58982…
- Health check
- SSH probe on the leased endpoint
We match GPUs on their measured runtime and dedicated VRAM. A hardware report doesn't qualify another vendor's backend.
#llm #chat #openai-api #gguf #uncensored
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