llama-2-chat#

  • Context Length: 4096

  • Model Name: llama-2-chat

  • Languages: en

  • Abilities: chat

  • Description: Llama-2-Chat is a fine-tuned version of the Llama-2 LLM, specializing in chatting.

Specifications#

Model Spec 1 (ggufv2, 7 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 7

  • Quantizations: Q2_K, Q3_K_S, Q3_K_M, Q3_K_L, Q4_0, Q4_K_S, Q4_K_M, Q5_0, Q5_K_S, Q5_K_M, Q6_K, Q8_0

  • Engines: llama.cpp

  • Model ID: TheBloke/Llama-2-7B-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-engine ${engine} --model-name llama-2-chat --size-in-billions 7 --model-format ggufv2 --quantization ${quantization}

Model Spec 2 (ggufv2, 13 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 13

  • Quantizations: Q2_K, Q3_K_S, Q3_K_M, Q3_K_L, Q4_0, Q4_K_S, Q4_K_M, Q5_0, Q5_K_S, Q5_K_M, Q6_K, Q8_0

  • Engines: llama.cpp

  • Model ID: TheBloke/Llama-2-13B-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-engine ${engine} --model-name llama-2-chat --size-in-billions 13 --model-format ggufv2 --quantization ${quantization}

Model Spec 3 (ggufv2, 70 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 70

  • Quantizations: Q2_K, Q3_K_S, Q3_K_M, Q3_K_L, Q4_0, Q4_K_S, Q4_K_M, Q5_0, Q5_K_S, Q5_K_M

  • Engines: llama.cpp

  • Model ID: TheBloke/Llama-2-70B-Chat-GGUF

  • Model Hubs: Hugging Face

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 llama-2-chat --size-in-billions 70 --model-format ggufv2 --quantization ${quantization}

Model Spec 4 (pytorch, 7 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 7

  • Quantizations: 4-bit, 8-bit, none

  • Engines: vLLM, Transformers, SGLang (vLLM and SGLang only available for quantization none)

  • Model ID: meta-llama/Llama-2-7b-chat-hf

  • 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 llama-2-chat --size-in-billions 7 --model-format pytorch --quantization ${quantization}

Model Spec 5 (gptq, 7 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 7

  • Quantizations: Int4

  • Engines: vLLM, Transformers, SGLang

  • Model ID: TheBloke/Llama-2-7B-Chat-GPTQ

  • Model Hubs: Hugging Face

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 llama-2-chat --size-in-billions 7 --model-format gptq --quantization ${quantization}

Model Spec 6 (gptq, 70 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 70

  • Quantizations: Int4

  • Engines: vLLM, Transformers, SGLang

  • Model ID: TheBloke/Llama-2-70B-Chat-GPTQ

  • Model Hubs: Hugging Face

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 llama-2-chat --size-in-billions 70 --model-format gptq --quantization ${quantization}

Model Spec 7 (awq, 70 Billion)#

  • Model Format: awq

  • Model Size (in billions): 70

  • Quantizations: Int4

  • Engines: vLLM, Transformers, SGLang

  • Model ID: TheBloke/Llama-2-70B-Chat-AWQ

  • Model Hubs: Hugging Face

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 llama-2-chat --size-in-billions 70 --model-format awq --quantization ${quantization}

Model Spec 8 (awq, 7 Billion)#

  • Model Format: awq

  • Model Size (in billions): 7

  • Quantizations: Int4

  • Engines: vLLM, Transformers, SGLang

  • Model ID: TheBloke/Llama-2-7B-Chat-AWQ

  • Model Hubs: Hugging Face

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 llama-2-chat --size-in-billions 7 --model-format awq --quantization ${quantization}

Model Spec 9 (pytorch, 13 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 13

  • Quantizations: 4-bit, 8-bit, none

  • Engines: vLLM, Transformers, SGLang (vLLM and SGLang only available for quantization none)

  • Model ID: meta-llama/Llama-2-13b-chat-hf

  • 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 llama-2-chat --size-in-billions 13 --model-format pytorch --quantization ${quantization}

Model Spec 10 (gptq, 13 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 13

  • Quantizations: Int4

  • Engines: vLLM, Transformers, SGLang

  • Model ID: TheBloke/Llama-2-13B-chat-GPTQ

  • Model Hubs: Hugging Face

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 llama-2-chat --size-in-billions 13 --model-format gptq --quantization ${quantization}

Model Spec 11 (awq, 13 Billion)#

  • Model Format: awq

  • Model Size (in billions): 13

  • Quantizations: Int4

  • Engines: vLLM, Transformers, SGLang

  • Model ID: TheBloke/Llama-2-13B-chat-AWQ

  • Model Hubs: Hugging Face

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 llama-2-chat --size-in-billions 13 --model-format awq --quantization ${quantization}

Model Spec 12 (pytorch, 70 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 70

  • Quantizations: 4-bit, 8-bit, none

  • Engines: vLLM, Transformers, SGLang (vLLM and SGLang only available for quantization none)

  • Model ID: meta-llama/Llama-2-70b-chat-hf

  • 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 llama-2-chat --size-in-billions 70 --model-format pytorch --quantization ${quantization}
On this page
显示源代码