codeqwen1.5-chat

• Context Length: 65536

• Model Name: codeqwen1.5-chat

• Languages: en, zh

• Abilities: chat

• Description: CodeQwen1.5 is the Code-Specific version of Qwen1.5. It is a transformer-based decoder-only language model pretrained on a large amount of data of codes.

Specifications

Model Spec 1 (ggufv2, 7 Billion)

• Model Format: ggufv2

• Model Size (in billions): 7

• Quantizations: q2_k, q3_k_m, q4_0, q4_k_m, q5_0, q5_k_m, q6_k, q8_0

• Model ID: Qwen/CodeQwen1.5-7B-Chat-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-name codeqwen1.5-chat --size-in-billions 7 --model-format ggufv2 --quantization ${quantization}

Model Spec 2 (pytorch, 7 Billion)

• Model Format: pytorch

• Model Size (in billions): 7

• Quantizations: 4-bit, 8-bit, none

• Model ID: Qwen/CodeQwen1.5-7B-Chat

• 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-name codeqwen1.5-chat --size-in-billions 7 --model-format pytorch --quantization ${quantization}

Model Spec 3 (awq, 7 Billion)

• Model Format: awq

• Model Size (in billions): 7

• Quantizations: Int4

• Model ID: Qwen/CodeQwen1.5-7B-Chat-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-name codeqwen1.5-chat --size-in-billions 7 --model-format awq --quantization ${quantization}