seed-oss#

  • Context Length: 524288

  • Model Name: seed-oss

  • Languages: en, zh

  • Abilities: chat, reasoning, tools

  • Description: Seed-OSS is a series of open-source large language models developed by ByteDance's Seed Team, designed for powerful long-context, reasoning, agent and general capabilities, and versatile developer-friendly features. Although trained with only 12T tokens, Seed-OSS achieves excellent performance on several popular open benchmarks.

Specifications#

Model Spec 1 (pytorch, 36 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 36

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: ByteDance-Seed/Seed-OSS-36B-Instruct

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name seed-oss --size-in-billions 36 --model-format pytorch --quantization ${quantization}

Model Spec 2 (gptq, 36 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 36

  • Quantizations: Int8, Int4, Int3

  • Engines: vLLM, Transformers

  • Model ID: QuantTrio/Seed-OSS-36B-Instruct-GPTQ-{quantization}

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name seed-oss --size-in-billions 36 --model-format gptq --quantization ${quantization}

Model Spec 3 (awq, 36 Billion)#

  • Model Format: awq

  • Model Size (in billions): 36

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: QuantTrio/Seed-OSS-36B-Instruct-AWQ

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name seed-oss --size-in-billions 36 --model-format awq --quantization ${quantization}

Model Spec 4 (mlx, 36 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 36

  • Quantizations: 4bit

  • Engines: MLX

  • Model ID: mlx-community/Seed-OSS-36B-Instruct-4bit

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name seed-oss --size-in-billions 36 --model-format mlx --quantization ${quantization}

Model Spec 5 (ggufv2, 36 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 36

  • Quantizations: BF16, IQ4_NL, IQ4_XS, Q2_K, Q2_K_L, Q3_K_M, Q3_K_S, Q4_0, Q4_1, Q4_K_M, Q4_K_S, Q5_K_M, Q5_K_S, Q6_K, Q8_0, UD-IQ1_M, UD-IQ1_S, UD-IQ2_M, UD-IQ2_XXS, UD-IQ3_XXS, UD-Q2_K_XL, UD-Q3_K_XL, UD-Q4_K_XL, UD-Q5_K_XL, UD-Q6_K_XL, UD-Q8_K_XL

  • Engines: vLLM, llama.cpp

  • Model ID: unsloth/Seed-OSS-36B-Instruct-GGUF

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name seed-oss --size-in-billions 36 --model-format ggufv2 --quantization ${quantization}