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scraped_data_with_descriptions.json
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{
"llama2": {
"description": "Llama 2 is a collection of foundation language models ranging from 7B to 70B parameters.",
"tags": [
"latest",
"text",
"7b",
"70b",
"chat",
"13b",
"7b-text",
"7b-chat",
"13b-chat",
"13b-text",
"70b-chat",
"70b-text",
"7b-chat-q4_0",
"7b-chat-q4_1",
"7b-chat-q5_0",
"7b-chat-q5_1",
"7b-chat-q8_0",
"7b-chat-q2_K",
"7b-chat-q3_K_S",
"7b-chat-q3_K_M",
"7b-chat-q3_K_L",
"7b-chat-q4_K_S",
"7b-chat-q4_K_M",
"7b-chat-q5_K_S",
"7b-chat-q5_K_M",
"7b-chat-q6_K",
"7b-chat-fp16",
"7b-text-q4_0",
"7b-text-q4_1",
"7b-text-q5_0",
"7b-text-q5_1",
"7b-text-q8_0",
"7b-text-q2_K",
"7b-text-q3_K_S",
"7b-text-q3_K_M",
"7b-text-q3_K_L",
"7b-text-q4_K_S",
"7b-text-q4_K_M",
"7b-text-q5_K_S",
"7b-text-q5_K_M",
"7b-text-q6_K",
"7b-text-fp16",
"13b-chat-q4_0",
"13b-chat-q4_1",
"13b-chat-q5_0",
"13b-chat-q5_1",
"13b-chat-q8_0",
"13b-chat-q2_K",
"13b-chat-q3_K_S",
"13b-chat-q3_K_M",
"13b-chat-q3_K_L",
"13b-chat-q4_K_S",
"13b-chat-q4_K_M",
"13b-chat-q5_K_S",
"13b-chat-q5_K_M",
"13b-chat-q6_K",
"13b-chat-fp16",
"13b-text-q4_0",
"13b-text-q4_1",
"13b-text-q5_0",
"13b-text-q5_1",
"13b-text-q8_0",
"13b-text-q2_K",
"13b-text-q3_K_S",
"13b-text-q3_K_M",
"13b-text-q3_K_L",
"13b-text-q4_K_S",
"13b-text-q4_K_M",
"13b-text-q5_K_S",
"13b-text-q5_K_M",
"13b-text-q6_K",
"13b-text-fp16",
"70b-chat-q4_0",
"70b-chat-q4_1",
"70b-chat-q5_0",
"70b-chat-q5_1",
"70b-chat-q8_0",
"70b-chat-q2_K",
"70b-chat-q3_K_S",
"70b-chat-q3_K_M",
"70b-chat-q3_K_L",
"70b-chat-q4_K_S",
"70b-chat-q4_K_M",
"70b-chat-q5_K_S",
"70b-chat-q5_K_M",
"70b-chat-q6_K",
"70b-chat-fp16",
"70b-text-q4_0",
"70b-text-q4_1",
"70b-text-q5_0",
"70b-text-q5_1",
"70b-text-q8_0",
"70b-text-q2_K",
"70b-text-q3_K_S",
"70b-text-q3_K_M",
"70b-text-q3_K_L",
"70b-text-q4_K_S",
"70b-text-q4_K_M",
"70b-text-q5_K_S",
"70b-text-q5_K_M",
"70b-text-q6_K",
"70b-text-fp16"
]
},
"mistral": {
"description": "The 7B model released by Mistral AI, updated to version 0.2.",
"tags": [
"latest",
"instruct",
"v0.2",
"text",
"7b",
"v0.1",
"7b-text",
"7b-instruct",
"7b-instruct-q4_0",
"7b-instruct-q4_1",
"7b-instruct-q5_0",
"7b-instruct-q5_1",
"7b-instruct-q8_0",
"7b-instruct-q2_K",
"7b-instruct-q3_K_S",
"7b-instruct-q3_K_M",
"7b-instruct-q3_K_L",
"7b-instruct-q4_K_S",
"7b-instruct-q4_K_M",
"7b-instruct-q5_K_S",
"7b-instruct-q5_K_M",
"7b-instruct-q6_K",
"7b-instruct-fp16",
"7b-text-q4_0",
"7b-text-q4_1",
"7b-text-q5_0",
"7b-text-q5_1",
"7b-text-q8_0",
"7b-text-q2_K",
"7b-text-q3_K_S",
"7b-text-q3_K_M",
"7b-text-q3_K_L",
"7b-text-q4_K_S",
"7b-text-q4_K_M",
"7b-text-q5_K_S",
"7b-text-q5_K_M",
"7b-text-q6_K",
"7b-text-fp16",
"7b-instruct-v0.2-q4_0",
"7b-instruct-v0.2-q4_1",
"7b-instruct-v0.2-q5_0",
"7b-instruct-v0.2-q5_1",
"7b-instruct-v0.2-q8_0",
"7b-instruct-v0.2-q2_K",
"7b-instruct-v0.2-q3_K_S",
"7b-instruct-v0.2-q3_K_M",
"7b-instruct-v0.2-q3_K_L",
"7b-instruct-v0.2-q4_K_S",
"7b-instruct-v0.2-q4_K_M",
"7b-instruct-v0.2-q5_K_S",
"7b-instruct-v0.2-q5_K_M",
"7b-instruct-v0.2-q6_K",
"7b-instruct-v0.2-fp16"
]
},
"codellama": {
"description": "A large language model that can use text prompts to generate and discuss code.",
"tags": [
"latest",
"instruct",
"code",
"34b",
"7b",
"70b",
"python",
"13b",
"7b-instruct",
"7b-python",
"7b-code",
"13b-python",
"13b-code",
"13b-instruct",
"34b-instruct",
"34b-code",
"34b-python",
"70b-python",
"70b-instruct",
"70b-code",
"7b-code-q4_0",
"7b-code-q4_1",
"7b-code-q5_0",
"7b-code-q5_1",
"7b-code-q8_0",
"7b-code-q2_K",
"7b-code-q3_K_S",
"7b-code-q3_K_M",
"7b-code-q3_K_L",
"7b-code-q4_K_S",
"7b-code-q4_K_M",
"7b-code-q5_K_S",
"7b-code-q5_K_M",
"7b-code-q6_K",
"7b-code-fp16",
"7b-instruct-q4_0",
"7b-instruct-q4_1",
"7b-instruct-q5_0",
"7b-instruct-q5_1",
"7b-instruct-q8_0",
"7b-instruct-q2_K",
"7b-instruct-q3_K_S",
"7b-instruct-q3_K_M",
"7b-instruct-q3_K_L",
"7b-instruct-q4_K_S",
"7b-instruct-q4_K_M",
"7b-instruct-q5_K_S",
"7b-instruct-q5_K_M",
"7b-instruct-q6_K",
"7b-instruct-fp16",
"7b-python-q4_0",
"7b-python-q4_1",
"7b-python-q5_0",
"7b-python-q5_1",
"7b-python-q8_0",
"7b-python-q2_K",
"7b-python-q3_K_S",
"7b-python-q3_K_M",
"7b-python-q3_K_L",
"7b-python-q4_K_S",
"7b-python-q4_K_M",
"7b-python-q5_K_S",
"7b-python-q5_K_M",
"7b-python-q6_K",
"7b-python-fp16",
"13b-code-q4_0",
"13b-code-q4_1",
"13b-code-q5_0",
"13b-code-q5_1",
"13b-code-q8_0",
"13b-code-q2_K",
"13b-code-q3_K_S",
"13b-code-q3_K_M",
"13b-code-q3_K_L",
"13b-code-q4_K_S",
"13b-code-q4_K_M",
"13b-code-q5_K_S",
"13b-code-q5_K_M",
"13b-code-q6_K",
"13b-code-fp16",
"13b-instruct-q4_0",
"13b-instruct-q4_1",
"13b-instruct-q5_0",
"13b-instruct-q5_1",
"13b-instruct-q8_0",
"13b-instruct-q2_K",
"13b-instruct-q3_K_S",
"13b-instruct-q3_K_M",
"13b-instruct-q3_K_L",
"13b-instruct-q4_K_S",
"13b-instruct-q4_K_M",
"13b-instruct-q5_K_S",
"13b-instruct-q5_K_M",
"13b-instruct-q6_K",
"13b-instruct-fp16",
"13b-python-q4_0",
"13b-python-q4_1",
"13b-python-q5_0",
"13b-python-q5_1",
"13b-python-q8_0",
"13b-python-q2_K",
"13b-python-q3_K_S",
"13b-python-q3_K_M",
"13b-python-q3_K_L",
"13b-python-q4_K_S",
"13b-python-q4_K_M",
"13b-python-q5_K_S",
"13b-python-q5_K_M",
"13b-python-q6_K",
"13b-python-fp16",
"34b-code-q4_0",
"34b-code-q4_1",
"34b-code-q5_0",
"34b-code-q5_1",
"34b-code-q8_0",
"34b-code-q2_K",
"34b-code-q3_K_S",
"34b-code-q3_K_M",
"34b-code-q3_K_L",
"34b-code-q4_K_S",
"34b-code-q4_K_M",
"34b-code-q5_K_S",
"34b-code-q5_K_M",
"34b-code-q6_K",
"34b-instruct-q4_0",
"34b-instruct-q4_1",
"34b-instruct-q5_0",
"34b-instruct-q5_1",
"34b-instruct-q8_0",
"34b-instruct-q2_K",
"34b-instruct-q3_K_S",
"34b-instruct-q3_K_M",
"34b-instruct-q3_K_L",
"34b-instruct-q4_K_S",
"34b-instruct-q4_K_M",
"34b-instruct-q5_K_S",
"34b-instruct-q5_K_M",
"34b-instruct-q6_K",
"34b-instruct-fp16",
"34b-python-q4_0",
"34b-python-q4_1",
"34b-python-q5_0",
"34b-python-q5_1",
"34b-python-q8_0",
"34b-python-q2_K",
"34b-python-q3_K_S",
"34b-python-q3_K_M",
"34b-python-q3_K_L",
"34b-python-q4_K_S",
"34b-python-q4_K_M",
"34b-python-q5_K_S",
"34b-python-q5_K_M",
"34b-python-q6_K",
"34b-python-fp16",
"70b-code-q4_0",
"70b-code-q4_1",
"70b-code-q5_0",
"70b-code-q5_1",
"70b-code-q8_0",
"70b-code-q2_K",
"70b-code-q3_K_S",
"70b-code-q3_K_M",
"70b-code-q3_K_L",
"70b-code-q4_K_S",
"70b-code-q4_K_M",
"70b-code-q5_K_S",
"70b-code-q5_K_M",
"70b-code-q6_K",
"70b-code-fp16",
"70b-instruct-q4_0",
"70b-instruct-q4_1",
"70b-instruct-q5_0",
"70b-instruct-q5_1",
"70b-instruct-q8_0",
"70b-instruct-q2_K",
"70b-instruct-q3_K_S",
"70b-instruct-q3_K_M",
"70b-instruct-q3_K_L",
"70b-instruct-q4_K_S",
"70b-instruct-q4_K_M",
"70b-instruct-q5_K_S",
"70b-instruct-q5_K_M",
"70b-instruct-q6_K",
"70b-instruct-fp16",
"70b-python-q4_0",
"70b-python-q4_1",
"70b-python-q5_0",
"70b-python-q5_1",
"70b-python-q8_0",
"70b-python-q2_K",
"70b-python-q3_K_S",
"70b-python-q3_K_M",
"70b-python-q3_K_L",
"70b-python-q4_K_S",
"70b-python-q4_K_M",
"70b-python-q5_K_S",
"70b-python-q5_K_M",
"70b-python-q6_K",
"70b-python-fp16"
]
},
"dolphin-mixtral": {
"description": "An uncensored, fine-tuned model based on the Mixtral mixture of experts model that excels at coding tasks. Created by Eric Hartford.",
"tags": [
"latest",
"8x7b",
"v2.7",
"v2.6.1",
"v2.5",
"v2.6",
"8x7b-v2.5",
"8x7b-v2.6.1",
"8x7b-v2.7",
"8x7b-v2.6",
"8x7b-v2.5-q4_0",
"8x7b-v2.5-q4_1",
"8x7b-v2.5-q5_0",
"8x7b-v2.5-q5_1",
"8x7b-v2.5-q8_0",
"8x7b-v2.5-q2_K",
"8x7b-v2.5-q3_K_S",
"8x7b-v2.5-q3_K_M",
"8x7b-v2.5-q3_K_L",
"8x7b-v2.5-q4_K_S",
"8x7b-v2.5-q4_K_M",
"8x7b-v2.5-q5_K_S",
"8x7b-v2.5-q5_K_M",
"8x7b-v2.5-q6_K",
"8x7b-v2.5-fp16",
"8x7b-v2.6-q4_0",
"8x7b-v2.6-q4_1",
"8x7b-v2.6-q5_0",
"8x7b-v2.6-q5_1",
"8x7b-v2.6-q8_0",
"8x7b-v2.6-q2_K",
"8x7b-v2.6-q3_K_S",
"8x7b-v2.6-q3_K_M",
"8x7b-v2.6-q3_K_L",
"8x7b-v2.6-q4_K_S",
"8x7b-v2.6-q4_K_M",
"8x7b-v2.6-q5_K_S",
"8x7b-v2.6-q5_K_M",
"8x7b-v2.6-q6_K",
"8x7b-v2.6-fp16",
"8x7b-v2.6.1-q4_0",
"8x7b-v2.6.1-q4_1",
"8x7b-v2.6.1-q5_0",
"8x7b-v2.6.1-q5_1",
"8x7b-v2.6.1-q8_0",
"8x7b-v2.6.1-q2_K",
"8x7b-v2.6.1-q3_K_S",
"8x7b-v2.6.1-q3_K_M",
"8x7b-v2.6.1-q3_K_L",
"8x7b-v2.6.1-q4_K_S",
"8x7b-v2.6.1-q4_K_M",
"8x7b-v2.6.1-q5_K_S",
"8x7b-v2.6.1-q5_K_M",
"8x7b-v2.6.1-q6_K",
"8x7b-v2.6.1-fp16",
"8x7b-v2.7-q4_0",
"8x7b-v2.7-q4_1",
"8x7b-v2.7-q5_0",
"8x7b-v2.7-q5_1",
"8x7b-v2.7-q8_0",
"8x7b-v2.7-q2_K",
"8x7b-v2.7-q3_K_S",
"8x7b-v2.7-q3_K_M",
"8x7b-v2.7-q3_K_L",
"8x7b-v2.7-q4_K_S",
"8x7b-v2.7-q4_K_M",
"8x7b-v2.7-q5_K_S",
"8x7b-v2.7-q5_K_M",
"8x7b-v2.7-q6_K",
"8x7b-v2.7-fp16"
]
},
"mistral-openorca": {
"description": "Mistral OpenOrca is a 7 billion parameter model, fine-tuned on top of the Mistral 7B model using the OpenOrca dataset.",
"tags": [
"latest",
"7b",
"7b-q4_0",
"7b-q4_1",
"7b-q5_0",
"7b-q5_1",
"7b-q8_0",
"7b-q2_K",
"7b-q3_K_S",
"7b-q3_K_M",
"7b-q3_K_L",
"7b-q4_K_S",
"7b-q4_K_M",
"7b-q5_K_S",
"7b-q5_K_M",
"7b-q6_K",
"7b-fp16"
]
},
"llama2-uncensored": {
"description": "Uncensored Llama 2 model by George Sung and Jarrad Hope.",
"tags": [
"latest",
"7b",
"70b",
"7b-chat",
"70b-chat",
"7b-chat-q4_0",
"7b-chat-q4_1",
"7b-chat-q5_0",
"7b-chat-q5_1",
"7b-chat-q8_0",
"7b-chat-q2_K",
"7b-chat-q3_K_S",
"7b-chat-q3_K_M",
"7b-chat-q3_K_L",
"7b-chat-q4_K_S",
"7b-chat-q4_K_M",
"7b-chat-q5_K_S",
"7b-chat-q5_K_M",
"7b-chat-q6_K",
"7b-chat-fp16",
"70b-chat-q4_0",
"70b-chat-q4_1",
"70b-chat-q5_0",
"70b-chat-q5_1",
"70b-chat-q8_0",
"70b-chat-q2_K",
"70b-chat-q3_K_S",
"70b-chat-q3_K_M",
"70b-chat-q3_K_L",
"70b-chat-q4_K_S",
"70b-chat-q4_K_M",
"70b-chat-q5_K_S",
"70b-chat-q5_K_M",
"70b-chat-q6_K"
]
},
"mixtral": {
"description": "A high-quality Mixture of Experts (MoE) model with open weights by Mistral AI.",
"tags": [
"latest",
"text",
"8x7b",
"instruct",
"8x7b-instruct-v0.1-q4_0",
"8x7b-instruct-v0.1-q4_1",
"8x7b-instruct-v0.1-q5_0",
"8x7b-instruct-v0.1-q5_1",
"8x7b-instruct-v0.1-q8_0",
"8x7b-instruct-v0.1-q2_K",
"8x7b-instruct-v0.1-q3_K_S",
"8x7b-instruct-v0.1-q3_K_M",
"8x7b-instruct-v0.1-q3_K_L",
"8x7b-instruct-v0.1-q4_K_S",
"8x7b-instruct-v0.1-q4_K_M",
"8x7b-instruct-v0.1-q5_K_S",
"8x7b-instruct-v0.1-q5_K_M",
"8x7b-instruct-v0.1-q6_K",
"8x7b-instruct-v0.1-fp16",
"8x7b-text-v0.1-q4_0",
"8x7b-text-v0.1-q4_1",
"8x7b-text-v0.1-q5_0",
"8x7b-text-v0.1-q5_1",
"8x7b-text-v0.1-q8_0",
"8x7b-text-v0.1-q2_K",
"8x7b-text-v0.1-q3_K_S",
"8x7b-text-v0.1-q3_K_M",
"8x7b-text-v0.1-q3_K_L",
"8x7b-text-v0.1-q4_K_S",
"8x7b-text-v0.1-q4_K_M",
"8x7b-text-v0.1-q5_K_S",
"8x7b-text-v0.1-q5_K_M",
"8x7b-text-v0.1-q6_K",
"8x7b-text-v0.1-fp16"
]
},
"llava": {
"description": "\ud83c\udf0b LLaVA is a novel end-to-end trained large multimodal model that combines a vision encoder and Vicuna for general-purpose visual and language understanding. Updated to version 1.6.",
"tags": [
"latest",
"7b",
"v1.6",
"13b",
"34b",
"7b-v1.6",
"13b-v1.6",
"34b-v1.6",
"7b-v1.5-q4_0",
"7b-v1.5-q4_1",
"7b-v1.5-q5_0",
"7b-v1.5-q5_1",
"7b-v1.5-q8_0",
"7b-v1.5-q2_K",
"7b-v1.5-q3_K_S",
"7b-v1.5-q3_K_M",
"7b-v1.5-q3_K_L",
"7b-v1.5-q4_K_S",
"7b-v1.5-q4_K_M",
"7b-v1.5-q5_K_S",
"7b-v1.5-q5_K_M",
"7b-v1.5-q6_K",
"7b-v1.5-fp16",
"13b-v1.5-q4_0",
"13b-v1.5-q4_1",
"13b-v1.5-q5_0",
"13b-v1.5-q5_1",
"13b-v1.5-q8_0",
"13b-v1.5-q2_K",
"13b-v1.5-q3_K_S",
"13b-v1.5-q3_K_M",
"13b-v1.5-q3_K_L",
"13b-v1.5-q4_K_S",
"13b-v1.5-q4_K_M",
"13b-v1.5-q5_K_S",
"13b-v1.5-q5_K_M",
"13b-v1.5-q6_K",
"13b-v1.5-fp16",
"34b-v1.6-q4_0",
"34b-v1.6-q4_1",
"34b-v1.6-q5_0",
"34b-v1.6-q5_1",
"34b-v1.6-q8_0",
"34b-v1.6-q2_K",
"34b-v1.6-q3_K_S",
"34b-v1.6-q3_K_M",
"34b-v1.6-q3_K_L",
"34b-v1.6-q4_K_S",
"34b-v1.6-q4_K_M",
"34b-v1.6-q5_K_S",
"34b-v1.6-q5_K_M",
"34b-v1.6-q6_K",
"34b-v1.6-fp16",
"7b-v1.6-mistral-q4_0",
"7b-v1.6-mistral-q4_1",
"7b-v1.6-mistral-q5_0",
"7b-v1.6-mistral-q5_1",
"7b-v1.6-mistral-q8_0",
"7b-v1.6-mistral-q2_K",
"7b-v1.6-mistral-q3_K_S",
"7b-v1.6-mistral-q3_K_M",
"7b-v1.6-mistral-q3_K_L",
"7b-v1.6-mistral-q4_K_S",
"7b-v1.6-mistral-q4_K_M",
"7b-v1.6-mistral-q5_K_S",
"7b-v1.6-mistral-q5_K_M",
"7b-v1.6-mistral-q6_K",
"7b-v1.6-mistral-fp16",
"7b-v1.6-vicuna-q4_0",
"7b-v1.6-vicuna-q4_1",
"7b-v1.6-vicuna-q5_0",
"7b-v1.6-vicuna-q5_1",
"7b-v1.6-vicuna-q8_0",
"7b-v1.6-vicuna-q2_K",
"7b-v1.6-vicuna-q3_K_S",
"7b-v1.6-vicuna-q3_K_M",
"7b-v1.6-vicuna-q3_K_L",
"7b-v1.6-vicuna-q4_K_S",
"7b-v1.6-vicuna-q4_K_M",
"7b-v1.6-vicuna-q5_K_S",
"7b-v1.6-vicuna-q5_K_M",
"7b-v1.6-vicuna-q6_K",
"7b-v1.6-vicuna-fp16",
"13b-v1.6-vicuna-q4_0",
"13b-v1.6-vicuna-q4_1",
"13b-v1.6-vicuna-q5_0",
"13b-v1.6-vicuna-q5_1",
"13b-v1.6-vicuna-q8_0",
"13b-v1.6-vicuna-q2_K",
"13b-v1.6-vicuna-q3_K_S",
"13b-v1.6-vicuna-q3_K_M",
"13b-v1.6-vicuna-q3_K_L",
"13b-v1.6-vicuna-q4_K_S",
"13b-v1.6-vicuna-q4_K_M",
"13b-v1.6-vicuna-q5_K_S",
"13b-v1.6-vicuna-q5_K_M",
"13b-v1.6-vicuna-q6_K",
"13b-v1.6-vicuna-fp16"
]
},
"orca-mini": {
"description": "A general-purpose model ranging from 3 billion parameters to 70 billion, suitable for entry-level hardware.",
"tags": [
"latest",
"7b",
"3b",
"13b",
"70b",
"7b-v3",
"13b-v3",
"70b-v3",
"3b-q4_0",
"3b-q4_1",
"3b-q5_0",
"3b-q5_1",
"3b-q8_0",
"3b-fp16",
"7b-q4_0",
"7b-q4_1",
"7b-q5_0",
"7b-q5_1",
"7b-q8_0",
"7b-q2_K",
"7b-q3_K_S",
"7b-q3_K_M",
"7b-q3_K_L",
"7b-q4_K_S",
"7b-q4_K_M",
"7b-q5_K_S",
"7b-q5_K_M",
"7b-q6_K",
"7b-fp16",
"13b-q4_0",
"13b-q4_1",
"13b-q5_0",
"13b-q5_1",
"13b-q8_0",
"13b-q2_K",
"13b-q3_K_S",
"13b-q3_K_M",
"13b-q3_K_L",
"13b-q4_K_S",
"13b-q4_K_M",
"13b-q5_K_S",
"13b-q5_K_M",
"13b-q6_K",
"13b-fp16",
"7b-v2-q4_0",
"7b-v2-q4_1",
"7b-v2-q5_0",
"7b-v2-q5_1",
"7b-v2-q8_0",
"7b-v2-q2_K",
"7b-v2-q3_K_S",
"7b-v2-q3_K_M",
"7b-v2-q3_K_L",
"7b-v2-q4_K_S",
"7b-v2-q4_K_M",
"7b-v2-q5_K_S",
"7b-v2-q5_K_M",
"7b-v2-q6_K",
"7b-v2-fp16",
"7b-v3-q4_0",
"7b-v3-q4_1",
"7b-v3-q5_0",
"7b-v3-q5_1",
"7b-v3-q8_0",
"7b-v3-q2_K",
"7b-v3-q3_K_S",
"7b-v3-q3_K_M",
"7b-v3-q3_K_L",
"7b-v3-q4_K_S",
"7b-v3-q4_K_M",
"7b-v3-q5_K_S",
"7b-v3-q5_K_M",
"7b-v3-q6_K",
"7b-v3-fp16",
"13b-v2-q4_0",
"13b-v2-q4_1",
"13b-v2-q5_0",
"13b-v2-q5_1",
"13b-v2-q8_0",
"13b-v2-q2_K",
"13b-v2-q3_K_S",
"13b-v2-q3_K_M",
"13b-v2-q3_K_L",
"13b-v2-q4_K_S",
"13b-v2-q4_K_M",
"13b-v2-q5_K_S",
"13b-v2-q5_K_M",
"13b-v2-q6_K",
"13b-v2-fp16",
"13b-v3-q4_0",
"13b-v3-q4_1",
"13b-v3-q5_0",
"13b-v3-q5_1",
"13b-v3-q8_0",
"13b-v3-q2_K",
"13b-v3-q3_K_S",
"13b-v3-q3_K_M",
"13b-v3-q3_K_L",
"13b-v3-q4_K_S",
"13b-v3-q4_K_M",
"13b-v3-q5_K_S",
"13b-v3-q5_K_M",
"13b-v3-q6_K",
"13b-v3-fp16",
"70b-v3-q4_0",
"70b-v3-q4_1",
"70b-v3-q5_0",
"70b-v3-q5_1",
"70b-v3-q8_0",
"70b-v3-q2_K",
"70b-v3-q3_K_S",
"70b-v3-q3_K_M",
"70b-v3-q3_K_L",
"70b-v3-q4_K_S",
"70b-v3-q4_K_M",
"70b-v3-q5_K_S",
"70b-v3-q5_K_M",
"70b-v3-q6_K",
"70b-v3-fp16"
]
},
"phi": {
"description": "Phi-2: a 2.7B language model by Microsoft Research that demonstrates outstanding reasoning and language understanding capabilities.",
"tags": [
"latest",
"2.7b",
"chat",
"2.7b-chat-v2-q4_0",
"2.7b-chat-v2-q4_1",
"2.7b-chat-v2-q5_0",
"2.7b-chat-v2-q5_1",
"2.7b-chat-v2-q8_0",
"2.7b-chat-v2-q2_K",
"2.7b-chat-v2-q3_K_S",
"2.7b-chat-v2-q3_K_M",
"2.7b-chat-v2-q3_K_L",
"2.7b-chat-v2-q4_K_S",
"2.7b-chat-v2-q4_K_M",
"2.7b-chat-v2-q5_K_S",
"2.7b-chat-v2-q5_K_M",
"2.7b-chat-v2-q6_K",
"2.7b-chat-v2-fp16"
]
},
"gemma": {
"description": "Gemma is a family of lightweight, state-of-the-art open models built by Google DeepMind.",
"tags": [
"latest",
"text",
"2b",
"7b",
"instruct",
"2b-instruct",
"2b-text",
"7b-text",
"7b-instruct",
"2b-instruct-q4_0",
"2b-instruct-q4_1",
"2b-instruct-q5_0",
"2b-instruct-q5_1",
"2b-instruct-q8_0",
"2b-instruct-q2_K",
"2b-instruct-q3_K_S",
"2b-instruct-q3_K_M",
"2b-instruct-q3_K_L",
"2b-instruct-q4_K_S",
"2b-instruct-q4_K_M",
"2b-instruct-q5_K_S",
"2b-instruct-q5_K_M",
"2b-instruct-q6_K",
"2b-instruct-fp16",
"2b-text-q4_0",
"2b-text-q4_1",
"2b-text-q5_0",
"2b-text-q5_1",
"2b-text-q8_0",
"2b-text-q2_K",
"2b-text-q3_K_S",
"2b-text-q3_K_M",
"2b-text-q3_K_L",
"2b-text-q4_K_S",
"2b-text-q4_K_M",
"2b-text-q5_K_S",
"2b-text-q5_K_M",
"2b-text-q6_K",
"2b-text-fp16",
"7b-instruct-q4_0",
"7b-instruct-q4_1",
"7b-instruct-q5_0",
"7b-instruct-q5_1",
"7b-instruct-q8_0",
"7b-instruct-q2_K",
"7b-instruct-q3_K_S",
"7b-instruct-q3_K_M",
"7b-instruct-q3_K_L",
"7b-instruct-q4_K_S",
"7b-instruct-q4_K_M",
"7b-instruct-q5_K_S",
"7b-instruct-q5_K_M",
"7b-instruct-q6_K",
"7b-instruct-fp16",
"7b-text-q4_0",
"7b-text-q4_1",
"7b-text-q5_0",
"7b-text-q5_1",
"7b-text-q8_0",
"7b-text-q2_K",
"7b-text-q3_K_S",
"7b-text-q3_K_M",
"7b-text-q3_K_L",
"7b-text-q4_K_S",
"7b-text-q4_K_M",
"7b-text-q5_K_S",
"7b-text-q5_K_M",
"7b-text-q6_K",
"7b-text-fp16"
]
},
"deepseek-coder": {
"description": "DeepSeek Coder is a capable coding model trained on two trillion code and natural language tokens.",
"tags": [
"latest",
"1.3b",
"base",
"33b",
"6.7b",
"instruct",
"1.3b-base",
"1.3b-instruct",
"6.7b-base",
"6.7b-instruct",
"33b-instruct",
"33b-base",
"1.3b-base-q4_0",
"1.3b-base-q4_1",
"1.3b-base-q5_0",
"1.3b-base-q5_1",
"1.3b-base-q8_0",
"1.3b-base-q2_K",
"1.3b-base-q3_K_S",
"1.3b-base-q3_K_M",
"1.3b-base-q3_K_L",
"1.3b-base-q4_K_S",
"1.3b-base-q4_K_M",
"1.3b-base-q5_K_S",
"1.3b-base-q5_K_M",
"1.3b-base-q6_K",
"1.3b-base-fp16",
"1.3b-instruct-q4_0",
"1.3b-instruct-q4_1",
"1.3b-instruct-q5_0",
"1.3b-instruct-q5_1",
"1.3b-instruct-q8_0",
"1.3b-instruct-q2_K",
"1.3b-instruct-q3_K_S",
"1.3b-instruct-q3_K_M",
"1.3b-instruct-q3_K_L",
"1.3b-instruct-q4_K_S",
"1.3b-instruct-q4_K_M",
"1.3b-instruct-q5_K_S",
"1.3b-instruct-q5_K_M",
"1.3b-instruct-q6_K",
"1.3b-instruct-fp16",
"6.7b-base-q4_0",
"6.7b-base-q4_1",
"6.7b-base-q5_0",
"6.7b-base-q5_1",
"6.7b-base-q8_0",
"6.7b-base-q2_K",
"6.7b-base-q3_K_S",
"6.7b-base-q3_K_M",
"6.7b-base-q3_K_L",
"6.7b-base-q4_K_S",
"6.7b-base-q4_K_M",
"6.7b-base-q5_K_S",
"6.7b-base-q5_K_M",
"6.7b-base-q6_K",
"6.7b-base-fp16",
"6.7b-instruct-q4_0",
"6.7b-instruct-q4_1",
"6.7b-instruct-q5_0",
"6.7b-instruct-q5_1",
"6.7b-instruct-q8_0",
"6.7b-instruct-q2_K",
"6.7b-instruct-q3_K_S",
"6.7b-instruct-q3_K_M",
"6.7b-instruct-q3_K_L",
"6.7b-instruct-q4_K_S",
"6.7b-instruct-q4_K_M",
"6.7b-instruct-q5_K_S",
"6.7b-instruct-q5_K_M",
"6.7b-instruct-q6_K",
"6.7b-instruct-fp16",
"33b-base-q4_0",
"33b-base-q4_1",
"33b-base-q5_0",
"33b-base-q5_1",
"33b-base-q8_0",
"33b-base-q2_K",
"33b-base-q3_K_S",
"33b-base-q3_K_M",
"33b-base-q3_K_L",
"33b-base-q4_K_S",
"33b-base-q4_K_M",
"33b-base-q5_K_S",
"33b-base-q5_K_M",
"33b-base-q6_K",
"33b-base-fp16",
"33b-instruct-q4_0",
"33b-instruct-q4_1",
"33b-instruct-q5_0",
"33b-instruct-q5_1",
"33b-instruct-q8_0",
"33b-instruct-q2_K",
"33b-instruct-q3_K_S",
"33b-instruct-q3_K_M",
"33b-instruct-q3_K_L",
"33b-instruct-q4_K_S",
"33b-instruct-q4_K_M",
"33b-instruct-q5_K_S",
"33b-instruct-q5_K_M",
"33b-instruct-q6_K",
"33b-instruct-fp16"
]
},
"dolphin-mistral": {
"description": "The uncensored Dolphin model based on Mistral that excels at coding tasks. Updated to version 2.6.",
"tags": [
"latest",
"v2.2",
"v2.1",
"v2.6",
"7b",
"v2",
"v2.2.1",
"7b-v2",
"7b-v2.2",
"7b-v2.2.1",
"7b-v2.1",
"7b-v2.6",
"7b-v2.6-dpo-laser",
"7b-v2-q4_0",
"7b-v2-q4_1",
"7b-v2-q5_0",
"7b-v2-q5_1",
"7b-v2-q8_0",
"7b-v2-q2_K",
"7b-v2-q3_K_S",
"7b-v2-q3_K_M",