mistral-v0.1

• Context Length: 8192

• Model Name: mistral-v0.1

• Languages: en

• Abilities: generate

• Description: Mistral-7B is a unmoderated Transformer based LLM claiming to outperform Llama2 on all benchmarks.

Specifications

Model Spec 1 (pytorch, 7 Billion)

• Model Format: pytorch

• Model Size (in billions): 7

• Quantizations: 4-bit, 8-bit, none

• Model ID: mistralai/Mistral-7B-v0.1

• 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 mistral-v0.1 --size-in-billions 7 --model-format pytorch --quantization ${quantization}

Model Spec 2 (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

• Model ID: TheBloke/Mistral-7B-v0.1-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 mistral-v0.1 --size-in-billions 7 --model-format ggufv2 --quantization ${quantization}