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Cognitive ComputationsCognitive Computations

Dolphin 2.9 8B

Legacy
6.3KDescargas493Me gustaApr 2024Publicado33K tokensContextoApache 2.0Licencia6 EntradaCalidad

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.

Comenzar

— copia y pega para ejecutar en local

Copy-paste commands to run Dolphin 2.9 8B on your machine.

Run

ollama run dolphin-llama3

Quick 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

Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations

  • learning_rate: 2e-05
  • train_batch_size: 3
  • eval_batch_size: 3
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 4

Tu hardware

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Opciones de cuantización

Estimaciones de VRAM por nivel de cuantización

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
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

Benchmark verified

Reasoning

MMLU-Pro19.7%
GPQA Diamond4.9%
MATH-5005.7%
ARC Challenge75.0%

General

Chatbot Arena
IFEval38.5%

Source: community · 2024-04-18

Compatibilidad de hardware

Estimaciones de encaje en todo el hardware

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Computing compatibility...

Desglose de memoria

Reference: RTX 2060 6GB

Weights4.9 GB
KV Cache2.0 GB
Runtime1.2 GB
Headroom0.6 GB

Preguntas frecuentes

FAQ — Dolphin 2.9 8B

Ver también