👁 Cognitive Computations
Cognitive Computations
Dolphin 2.9 8B
Legacy
9.3KDownloads498LikesApr 2024Released33K tokensContextApache 2.0License6 EntryQuality
Dolphin 2.9 8B (8B parameters) requires approximately 8.6 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 10 GB of VRAM.
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— copy & paste to run locallyCopy-paste commands to run Dolphin 2.9 8B on your machine.
Run
ollama run dolphin-llama3Quick specs
Parameters8B
Architecturedense
Context33K tokens
Modalitytext
Min RAM3.1 GB
Rec. RAM4.9 GB (Q4_K_M)
LicenseApache 2.0
FamilyDolphin
✓ Chat
About this model
- •learning_rate: 2e-05
- •train_batch_size: 3
- •eval_batch_size: 3
- •distributed_type: multi-GPU
- •gradient_accumulation_steps: 4
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Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | — |
Q3_K_S | 3 | 3.9 GB | Low | — |
NVFP4 | 4 | 4.5 GB | Medium | — |
Q4_K_M | 4 | 4.9 GB | Medium | — |
Q5_K_M | 5 | 5.8 GB | High | — |
Q6_K | 6 | 6.6 GB | High | — |
Q8_0 | 8 | 8.6 GB | Very High | — |
F16 | 16 | 16.4 GB | Maximum | — |
Quality benchmarks
Dolphin 2.9 8B benchmark scores
Reasoning
MMLU-Pro19.7%
GPQA Diamond4.9%
MATH-5005.7%
ARC Challenge75.0%
General
Chatbot Arena—
IFEval38.5%
Source: community · 2024-04-18
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights4.9 GB
KV Cache2.0 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Dolphin 2.9 8B
See also