castorini/rank_zephyr_7b_v1_full
zetlyn/models-hf model hf castorini/rank_zephyr_7b_v1_full known 2024-01-19
https://huggingface.co/castorini/rank_zephyr_7b_v1_full
Properties
| author | castorinireceipt
What the source handed over{
"_asked": "castorini/rank_zephyr_7b_v1_full",
"_id": "65aac50a14e6582c300ca62b",
"author": "castorini",
"cardData": {
"base_model": "mistralai/Mistral-7B-v0.1",
"language": [
"en"
],
"license": "mit",
"tags": [
"generated_from_trainer"
]
},
"config": {
"architectures": [
"MistralForCausalLM"
],
"model_type": "mistral",
"tokenizer_config": {
"bos_token": "<s>",
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
"eos_token": "</s>",
"pad_token": "</s>",
"unk_token": "<unk>",
"use_default_system_prompt": true
}
},
"createdAt": "2024-01-19T18:52:58.000Z",
"disabled": false,
"downloads": 6708,
"gated": false,
"id": "castorini/rank_zephyr_7b_v1_full",
"inference": "warm",
"lastModified": "2024-01-19T19:54:29.000Z",
"library_name": "transformers",
"likes": 29,
"model-index": null,
"modelId": "castorini/rank_zephyr_7b_v1_full",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"BF16": 7241732096
},
"total": 7241732096
},
"sha": "aa11d9da444ec3490827656c3b961d5c5f3af0eb",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "config.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "latest"
},
{
"rfilename": "model-00001-of-00003.safetensors"
},
{
"rfilename": "model-00002-of-00003.safetensors"
},
{
"rfilename": "model-00003-of-00003.safetensors"
},
{
"rfilename": "model.safetensors.index.json"
},
{
"rfilename": "rng_state_0.pth"
},
{
"rfilename": "rng_state_1.pth"
},
{
"rfilename": "rng_state_2.pth"
},
{
"rfilename": "rng_state_3.pth"
},
{
"rfilename": "rng_state_4.pth"
},
{
"rfilename": "rng_state_5.pth"
},
{
"rfilename": "rng_state_6.pth"
},
{
"rfilename": "rng_state_7.pth"
},
{
"rfilename": "special_tokens_map.json"
},
{
"rfilename": "thumbnail.jpeg"
},
{
"rfilename": "tokenizer.model"
},
{
"rfilename": "tokenizer_config.json"
},
{
"rfilename": "trainer_state.json"
},
{
"rfilename": "training_args.bin"
},
{
"rfilename": "zero_to_fp32.py"
}
],
"spaces": [
"tardellirs/model-pulse",
"featherless-ai/try-this-model",
"Darok/Featherless-Feud",
"emekaboris/try-this-model",
"SC999/NV_Nemotron",
"JackHoltone/try-this-model",
"k11112/try-this-model",
"lxzxrusblxck/lxzbyrinth",
"SrRooT/try-this-model"
],
"tags": [
"transformers",
"safetensors",
"mistral",
"text-generation",
"generated_from_trainer",
"conversational",
"en",
"arxiv:2312.02724",
"base_model:mistralai/Mistral-7B-v0.1",
"base_model:finetune:mistralai/Mistral-7B-v0.1",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 14484171158,
"widgetData": [
{
"text": "Hi, what can you help me with?"
},
{
"text": "What is 84 * 3 / 2?"
},
{
"text": "Tell me an interesting fact about the universe!"
},
{
"text": "Explain quantum computing in simple terms."
}
]
} | ||||||
|---|---|---|---|---|---|---|---|
| downloads | 6708receipt
What the source handed over{
"_asked": "castorini/rank_zephyr_7b_v1_full",
"_id": "65aac50a14e6582c300ca62b",
"author": "castorini",
"cardData": {
"base_model": "mistralai/Mistral-7B-v0.1",
"language": [
"en"
],
"license": "mit",
"tags": [
"generated_from_trainer"
]
},
"config": {
"architectures": [
"MistralForCausalLM"
],
"model_type": "mistral",
"tokenizer_config": {
"bos_token": "<s>",
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
"eos_token": "</s>",
"pad_token": "</s>",
"unk_token": "<unk>",
"use_default_system_prompt": true
}
},
"createdAt": "2024-01-19T18:52:58.000Z",
"disabled": false,
"downloads": 6708,
"gated": false,
"id": "castorini/rank_zephyr_7b_v1_full",
"inference": "warm",
"lastModified": "2024-01-19T19:54:29.000Z",
"library_name": "transformers",
"likes": 29,
"model-index": null,
"modelId": "castorini/rank_zephyr_7b_v1_full",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"BF16": 7241732096
},
"total": 7241732096
},
"sha": "aa11d9da444ec3490827656c3b961d5c5f3af0eb",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "config.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "latest"
},
{
"rfilename": "model-00001-of-00003.safetensors"
},
{
"rfilename": "model-00002-of-00003.safetensors"
},
{
"rfilename": "model-00003-of-00003.safetensors"
},
{
"rfilename": "model.safetensors.index.json"
},
{
"rfilename": "rng_state_0.pth"
},
{
"rfilename": "rng_state_1.pth"
},
{
"rfilename": "rng_state_2.pth"
},
{
"rfilename": "rng_state_3.pth"
},
{
"rfilename": "rng_state_4.pth"
},
{
"rfilename": "rng_state_5.pth"
},
{
"rfilename": "rng_state_6.pth"
},
{
"rfilename": "rng_state_7.pth"
},
{
"rfilename": "special_tokens_map.json"
},
{
"rfilename": "thumbnail.jpeg"
},
{
"rfilename": "tokenizer.model"
},
{
"rfilename": "tokenizer_config.json"
},
{
"rfilename": "trainer_state.json"
},
{
"rfilename": "training_args.bin"
},
{
"rfilename": "zero_to_fp32.py"
}
],
"spaces": [
"tardellirs/model-pulse",
"featherless-ai/try-this-model",
"Darok/Featherless-Feud",
"emekaboris/try-this-model",
"SC999/NV_Nemotron",
"JackHoltone/try-this-model",
"k11112/try-this-model",
"lxzxrusblxck/lxzbyrinth",
"SrRooT/try-this-model"
],
"tags": [
"transformers",
"safetensors",
"mistral",
"text-generation",
"generated_from_trainer",
"conversational",
"en",
"arxiv:2312.02724",
"base_model:mistralai/Mistral-7B-v0.1",
"base_model:finetune:mistralai/Mistral-7B-v0.1",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 14484171158,
"widgetData": [
{
"text": "Hi, what can you help me with?"
},
{
"text": "What is 84 * 3 / 2?"
},
{
"text": "Tell me an interesting fact about the universe!"
},
{
"text": "Explain quantum computing in simple terms."
}
]
} | ||||||
| gated | falsereceipt
What the source handed over{
"_asked": "castorini/rank_zephyr_7b_v1_full",
"_id": "65aac50a14e6582c300ca62b",
"author": "castorini",
"cardData": {
"base_model": "mistralai/Mistral-7B-v0.1",
"language": [
"en"
],
"license": "mit",
"tags": [
"generated_from_trainer"
]
},
"config": {
"architectures": [
"MistralForCausalLM"
],
"model_type": "mistral",
"tokenizer_config": {
"bos_token": "<s>",
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
"eos_token": "</s>",
"pad_token": "</s>",
"unk_token": "<unk>",
"use_default_system_prompt": true
}
},
"createdAt": "2024-01-19T18:52:58.000Z",
"disabled": false,
"downloads": 6708,
"gated": false,
"id": "castorini/rank_zephyr_7b_v1_full",
"inference": "warm",
"lastModified": "2024-01-19T19:54:29.000Z",
"library_name": "transformers",
"likes": 29,
"model-index": null,
"modelId": "castorini/rank_zephyr_7b_v1_full",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"BF16": 7241732096
},
"total": 7241732096
},
"sha": "aa11d9da444ec3490827656c3b961d5c5f3af0eb",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "config.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "latest"
},
{
"rfilename": "model-00001-of-00003.safetensors"
},
{
"rfilename": "model-00002-of-00003.safetensors"
},
{
"rfilename": "model-00003-of-00003.safetensors"
},
{
"rfilename": "model.safetensors.index.json"
},
{
"rfilename": "rng_state_0.pth"
},
{
"rfilename": "rng_state_1.pth"
},
{
"rfilename": "rng_state_2.pth"
},
{
"rfilename": "rng_state_3.pth"
},
{
"rfilename": "rng_state_4.pth"
},
{
"rfilename": "rng_state_5.pth"
},
{
"rfilename": "rng_state_6.pth"
},
{
"rfilename": "rng_state_7.pth"
},
{
"rfilename": "special_tokens_map.json"
},
{
"rfilename": "thumbnail.jpeg"
},
{
"rfilename": "tokenizer.model"
},
{
"rfilename": "tokenizer_config.json"
},
{
"rfilename": "trainer_state.json"
},
{
"rfilename": "training_args.bin"
},
{
"rfilename": "zero_to_fp32.py"
}
],
"spaces": [
"tardellirs/model-pulse",
"featherless-ai/try-this-model",
"Darok/Featherless-Feud",
"emekaboris/try-this-model",
"SC999/NV_Nemotron",
"JackHoltone/try-this-model",
"k11112/try-this-model",
"lxzxrusblxck/lxzbyrinth",
"SrRooT/try-this-model"
],
"tags": [
"transformers",
"safetensors",
"mistral",
"text-generation",
"generated_from_trainer",
"conversational",
"en",
"arxiv:2312.02724",
"base_model:mistralai/Mistral-7B-v0.1",
"base_model:finetune:mistralai/Mistral-7B-v0.1",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 14484171158,
"widgetData": [
{
"text": "Hi, what can you help me with?"
},
{
"text": "What is 84 * 3 / 2?"
},
{
"text": "Tell me an interesting fact about the universe!"
},
{
"text": "Explain quantum computing in simple terms."
}
]
} | ||||||
| licence | mitreceipt
What the source handed over{
"_asked": "castorini/rank_zephyr_7b_v1_full",
"_id": "65aac50a14e6582c300ca62b",
"author": "castorini",
"cardData": {
"base_model": "mistralai/Mistral-7B-v0.1",
"language": [
"en"
],
"license": "mit",
"tags": [
"generated_from_trainer"
]
},
"config": {
"architectures": [
"MistralForCausalLM"
],
"model_type": "mistral",
"tokenizer_config": {
"bos_token": "<s>",
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
"eos_token": "</s>",
"pad_token": "</s>",
"unk_token": "<unk>",
"use_default_system_prompt": true
}
},
"createdAt": "2024-01-19T18:52:58.000Z",
"disabled": false,
"downloads": 6708,
"gated": false,
"id": "castorini/rank_zephyr_7b_v1_full",
"inference": "warm",
"lastModified": "2024-01-19T19:54:29.000Z",
"library_name": "transformers",
"likes": 29,
"model-index": null,
"modelId": "castorini/rank_zephyr_7b_v1_full",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"BF16": 7241732096
},
"total": 7241732096
},
"sha": "aa11d9da444ec3490827656c3b961d5c5f3af0eb",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "config.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "latest"
},
{
"rfilename": "model-00001-of-00003.safetensors"
},
{
"rfilename": "model-00002-of-00003.safetensors"
},
{
"rfilename": "model-00003-of-00003.safetensors"
},
{
"rfilename": "model.safetensors.index.json"
},
{
"rfilename": "rng_state_0.pth"
},
{
"rfilename": "rng_state_1.pth"
},
{
"rfilename": "rng_state_2.pth"
},
{
"rfilename": "rng_state_3.pth"
},
{
"rfilename": "rng_state_4.pth"
},
{
"rfilename": "rng_state_5.pth"
},
{
"rfilename": "rng_state_6.pth"
},
{
"rfilename": "rng_state_7.pth"
},
{
"rfilename": "special_tokens_map.json"
},
{
"rfilename": "thumbnail.jpeg"
},
{
"rfilename": "tokenizer.model"
},
{
"rfilename": "tokenizer_config.json"
},
{
"rfilename": "trainer_state.json"
},
{
"rfilename": "training_args.bin"
},
{
"rfilename": "zero_to_fp32.py"
}
],
"spaces": [
"tardellirs/model-pulse",
"featherless-ai/try-this-model",
"Darok/Featherless-Feud",
"emekaboris/try-this-model",
"SC999/NV_Nemotron",
"JackHoltone/try-this-model",
"k11112/try-this-model",
"lxzxrusblxck/lxzbyrinth",
"SrRooT/try-this-model"
],
"tags": [
"transformers",
"safetensors",
"mistral",
"text-generation",
"generated_from_trainer",
"conversational",
"en",
"arxiv:2312.02724",
"base_model:mistralai/Mistral-7B-v0.1",
"base_model:finetune:mistralai/Mistral-7B-v0.1",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 14484171158,
"widgetData": [
{
"text": "Hi, what can you help me with?"
},
{
"text": "What is 84 * 3 / 2?"
},
{
"text": "Tell me an interesting fact about the universe!"
},
{
"text": "Explain quantum computing in simple terms."
}
]
} | ||||||
| likes | 29receipt
What the source handed over{
"_asked": "castorini/rank_zephyr_7b_v1_full",
"_id": "65aac50a14e6582c300ca62b",
"author": "castorini",
"cardData": {
"base_model": "mistralai/Mistral-7B-v0.1",
"language": [
"en"
],
"license": "mit",
"tags": [
"generated_from_trainer"
]
},
"config": {
"architectures": [
"MistralForCausalLM"
],
"model_type": "mistral",
"tokenizer_config": {
"bos_token": "<s>",
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
"eos_token": "</s>",
"pad_token": "</s>",
"unk_token": "<unk>",
"use_default_system_prompt": true
}
},
"createdAt": "2024-01-19T18:52:58.000Z",
"disabled": false,
"downloads": 6708,
"gated": false,
"id": "castorini/rank_zephyr_7b_v1_full",
"inference": "warm",
"lastModified": "2024-01-19T19:54:29.000Z",
"library_name": "transformers",
"likes": 29,
"model-index": null,
"modelId": "castorini/rank_zephyr_7b_v1_full",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"BF16": 7241732096
},
"total": 7241732096
},
"sha": "aa11d9da444ec3490827656c3b961d5c5f3af0eb",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "config.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "latest"
},
{
"rfilename": "model-00001-of-00003.safetensors"
},
{
"rfilename": "model-00002-of-00003.safetensors"
},
{
"rfilename": "model-00003-of-00003.safetensors"
},
{
"rfilename": "model.safetensors.index.json"
},
{
"rfilename": "rng_state_0.pth"
},
{
"rfilename": "rng_state_1.pth"
},
{
"rfilename": "rng_state_2.pth"
},
{
"rfilename": "rng_state_3.pth"
},
{
"rfilename": "rng_state_4.pth"
},
{
"rfilename": "rng_state_5.pth"
},
{
"rfilename": "rng_state_6.pth"
},
{
"rfilename": "rng_state_7.pth"
},
{
"rfilename": "special_tokens_map.json"
},
{
"rfilename": "thumbnail.jpeg"
},
{
"rfilename": "tokenizer.model"
},
{
"rfilename": "tokenizer_config.json"
},
{
"rfilename": "trainer_state.json"
},
{
"rfilename": "training_args.bin"
},
{
"rfilename": "zero_to_fp32.py"
}
],
"spaces": [
"tardellirs/model-pulse",
"featherless-ai/try-this-model",
"Darok/Featherless-Feud",
"emekaboris/try-this-model",
"SC999/NV_Nemotron",
"JackHoltone/try-this-model",
"k11112/try-this-model",
"lxzxrusblxck/lxzbyrinth",
"SrRooT/try-this-model"
],
"tags": [
"transformers",
"safetensors",
"mistral",
"text-generation",
"generated_from_trainer",
"conversational",
"en",
"arxiv:2312.02724",
"base_model:mistralai/Mistral-7B-v0.1",
"base_model:finetune:mistralai/Mistral-7B-v0.1",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 14484171158,
"widgetData": [
{
"text": "Hi, what can you help me with?"
},
{
"text": "What is 84 * 3 / 2?"
},
{
"text": "Tell me an interesting fact about the universe!"
},
{
"text": "Explain quantum computing in simple terms."
}
]
} | ||||||
| task | text-generationreceipt
What the source handed over{
"_asked": "castorini/rank_zephyr_7b_v1_full",
"_id": "65aac50a14e6582c300ca62b",
"author": "castorini",
"cardData": {
"base_model": "mistralai/Mistral-7B-v0.1",
"language": [
"en"
],
"license": "mit",
"tags": [
"generated_from_trainer"
]
},
"config": {
"architectures": [
"MistralForCausalLM"
],
"model_type": "mistral",
"tokenizer_config": {
"bos_token": "<s>",
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
"eos_token": "</s>",
"pad_token": "</s>",
"unk_token": "<unk>",
"use_default_system_prompt": true
}
},
"createdAt": "2024-01-19T18:52:58.000Z",
"disabled": false,
"downloads": 6708,
"gated": false,
"id": "castorini/rank_zephyr_7b_v1_full",
"inference": "warm",
"lastModified": "2024-01-19T19:54:29.000Z",
"library_name": "transformers",
"likes": 29,
"model-index": null,
"modelId": "castorini/rank_zephyr_7b_v1_full",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"BF16": 7241732096
},
"total": 7241732096
},
"sha": "aa11d9da444ec3490827656c3b961d5c5f3af0eb",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "config.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "latest"
},
{
"rfilename": "model-00001-of-00003.safetensors"
},
{
"rfilename": "model-00002-of-00003.safetensors"
},
{
"rfilename": "model-00003-of-00003.safetensors"
},
{
"rfilename": "model.safetensors.index.json"
},
{
"rfilename": "rng_state_0.pth"
},
{
"rfilename": "rng_state_1.pth"
},
{
"rfilename": "rng_state_2.pth"
},
{
"rfilename": "rng_state_3.pth"
},
{
"rfilename": "rng_state_4.pth"
},
{
"rfilename": "rng_state_5.pth"
},
{
"rfilename": "rng_state_6.pth"
},
{
"rfilename": "rng_state_7.pth"
},
{
"rfilename": "special_tokens_map.json"
},
{
"rfilename": "thumbnail.jpeg"
},
{
"rfilename": "tokenizer.model"
},
{
"rfilename": "tokenizer_config.json"
},
{
"rfilename": "trainer_state.json"
},
{
"rfilename": "training_args.bin"
},
{
"rfilename": "zero_to_fp32.py"
}
],
"spaces": [
"tardellirs/model-pulse",
"featherless-ai/try-this-model",
"Darok/Featherless-Feud",
"emekaboris/try-this-model",
"SC999/NV_Nemotron",
"JackHoltone/try-this-model",
"k11112/try-this-model",
"lxzxrusblxck/lxzbyrinth",
"SrRooT/try-this-model"
],
"tags": [
"transformers",
"safetensors",
"mistral",
"text-generation",
"generated_from_trainer",
"conversational",
"en",
"arxiv:2312.02724",
"base_model:mistralai/Mistral-7B-v0.1",
"base_model:finetune:mistralai/Mistral-7B-v0.1",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 14484171158,
"widgetData": [
{
"text": "Hi, what can you help me with?"
},
{
"text": "What is 84 * 3 / 2?"
},
{
"text": "Tell me an interesting fact about the universe!"
},
{
"text": "Explain quantum computing in simple terms."
}
]
} |
Text
This source's terms allow its title, its values and a link here, not its text. It is at https://huggingface.co/castorini/rank_zephyr_7b_v1_full.