failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
zetlyn/models-hf model hf failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 known 2024-05-20
https://huggingface.co/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
Properties
| author | failspyreceipt
What the source handed over{
"_asked": "failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
"_id": "664ac5c0c88927e6ddc48323",
"author": "failspy",
"cardData": {
"library_name": "transformers",
"license": "llama3"
},
"config": {
"architectures": [
"LlamaForCausalLM"
],
"model_type": "llama",
"tokenizer_config": {
"bos_token": "<|begin_of_text|>",
"chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
"eos_token": "<|eot_id|>"
}
},
"createdAt": "2024-05-20T03:38:40.000Z",
"disabled": false,
"downloads": 9348,
"gated": false,
"id": "failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
"inference": "warm",
"lastModified": "2024-05-30T12:39:03.000Z",
"library_name": "transformers",
"likes": 65,
"model-index": null,
"modelId": "failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"BF16": 8030261248
},
"total": 8030261248
},
"sha": "85a25be002841fe738a5267b6806473f36f86715",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "config.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model-00001-of-00004.safetensors"
},
{
"rfilename": "model-00002-of-00004.safetensors"
},
{
"rfilename": "model-00003-of-00004.safetensors"
},
{
"rfilename": "model-00004-of-00004.safetensors"
},
{
"rfilename": "model.safetensors.index.json"
},
{
"rfilename": "special_tokens_map.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
}
],
"spaces": [
"modelpulse/model-pulse",
"featherless-ai/try-this-model",
"eduagarcia/open_pt_llm_leaderboard",
"openfree/Korean-Leaderboard-backup1",
"Darok/Featherless-Feud",
"emekaboris/try-this-model",
"SC999/NV_Nemotron",
"kamran-r123/SD-Prompt-Generator",
"JackHoltone/try-this-model",
"k11112/try-this-model",
"lxzxrusblxck/lxzbyrinth",
"SrRooT/try-this-model",
"KhalilAbbas/llama-3-8b-instruct-abliterated"
],
"tags": [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"license:llama3",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 16060556376,
"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 | 9348receipt
What the source handed over{
"_asked": "failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
"_id": "664ac5c0c88927e6ddc48323",
"author": "failspy",
"cardData": {
"library_name": "transformers",
"license": "llama3"
},
"config": {
"architectures": [
"LlamaForCausalLM"
],
"model_type": "llama",
"tokenizer_config": {
"bos_token": "<|begin_of_text|>",
"chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
"eos_token": "<|eot_id|>"
}
},
"createdAt": "2024-05-20T03:38:40.000Z",
"disabled": false,
"downloads": 9348,
"gated": false,
"id": "failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
"inference": "warm",
"lastModified": "2024-05-30T12:39:03.000Z",
"library_name": "transformers",
"likes": 65,
"model-index": null,
"modelId": "failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"BF16": 8030261248
},
"total": 8030261248
},
"sha": "85a25be002841fe738a5267b6806473f36f86715",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "config.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model-00001-of-00004.safetensors"
},
{
"rfilename": "model-00002-of-00004.safetensors"
},
{
"rfilename": "model-00003-of-00004.safetensors"
},
{
"rfilename": "model-00004-of-00004.safetensors"
},
{
"rfilename": "model.safetensors.index.json"
},
{
"rfilename": "special_tokens_map.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
}
],
"spaces": [
"modelpulse/model-pulse",
"featherless-ai/try-this-model",
"eduagarcia/open_pt_llm_leaderboard",
"openfree/Korean-Leaderboard-backup1",
"Darok/Featherless-Feud",
"emekaboris/try-this-model",
"SC999/NV_Nemotron",
"kamran-r123/SD-Prompt-Generator",
"JackHoltone/try-this-model",
"k11112/try-this-model",
"lxzxrusblxck/lxzbyrinth",
"SrRooT/try-this-model",
"KhalilAbbas/llama-3-8b-instruct-abliterated"
],
"tags": [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"license:llama3",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 16060556376,
"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": "failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
"_id": "664ac5c0c88927e6ddc48323",
"author": "failspy",
"cardData": {
"library_name": "transformers",
"license": "llama3"
},
"config": {
"architectures": [
"LlamaForCausalLM"
],
"model_type": "llama",
"tokenizer_config": {
"bos_token": "<|begin_of_text|>",
"chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
"eos_token": "<|eot_id|>"
}
},
"createdAt": "2024-05-20T03:38:40.000Z",
"disabled": false,
"downloads": 9348,
"gated": false,
"id": "failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
"inference": "warm",
"lastModified": "2024-05-30T12:39:03.000Z",
"library_name": "transformers",
"likes": 65,
"model-index": null,
"modelId": "failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"BF16": 8030261248
},
"total": 8030261248
},
"sha": "85a25be002841fe738a5267b6806473f36f86715",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "config.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model-00001-of-00004.safetensors"
},
{
"rfilename": "model-00002-of-00004.safetensors"
},
{
"rfilename": "model-00003-of-00004.safetensors"
},
{
"rfilename": "model-00004-of-00004.safetensors"
},
{
"rfilename": "model.safetensors.index.json"
},
{
"rfilename": "special_tokens_map.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
}
],
"spaces": [
"modelpulse/model-pulse",
"featherless-ai/try-this-model",
"eduagarcia/open_pt_llm_leaderboard",
"openfree/Korean-Leaderboard-backup1",
"Darok/Featherless-Feud",
"emekaboris/try-this-model",
"SC999/NV_Nemotron",
"kamran-r123/SD-Prompt-Generator",
"JackHoltone/try-this-model",
"k11112/try-this-model",
"lxzxrusblxck/lxzbyrinth",
"SrRooT/try-this-model",
"KhalilAbbas/llama-3-8b-instruct-abliterated"
],
"tags": [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"license:llama3",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 16060556376,
"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 | llama3receipt
What the source handed over{
"_asked": "failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
"_id": "664ac5c0c88927e6ddc48323",
"author": "failspy",
"cardData": {
"library_name": "transformers",
"license": "llama3"
},
"config": {
"architectures": [
"LlamaForCausalLM"
],
"model_type": "llama",
"tokenizer_config": {
"bos_token": "<|begin_of_text|>",
"chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
"eos_token": "<|eot_id|>"
}
},
"createdAt": "2024-05-20T03:38:40.000Z",
"disabled": false,
"downloads": 9348,
"gated": false,
"id": "failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
"inference": "warm",
"lastModified": "2024-05-30T12:39:03.000Z",
"library_name": "transformers",
"likes": 65,
"model-index": null,
"modelId": "failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"BF16": 8030261248
},
"total": 8030261248
},
"sha": "85a25be002841fe738a5267b6806473f36f86715",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "config.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model-00001-of-00004.safetensors"
},
{
"rfilename": "model-00002-of-00004.safetensors"
},
{
"rfilename": "model-00003-of-00004.safetensors"
},
{
"rfilename": "model-00004-of-00004.safetensors"
},
{
"rfilename": "model.safetensors.index.json"
},
{
"rfilename": "special_tokens_map.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
}
],
"spaces": [
"modelpulse/model-pulse",
"featherless-ai/try-this-model",
"eduagarcia/open_pt_llm_leaderboard",
"openfree/Korean-Leaderboard-backup1",
"Darok/Featherless-Feud",
"emekaboris/try-this-model",
"SC999/NV_Nemotron",
"kamran-r123/SD-Prompt-Generator",
"JackHoltone/try-this-model",
"k11112/try-this-model",
"lxzxrusblxck/lxzbyrinth",
"SrRooT/try-this-model",
"KhalilAbbas/llama-3-8b-instruct-abliterated"
],
"tags": [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"license:llama3",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 16060556376,
"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 | 65receipt
What the source handed over{
"_asked": "failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
"_id": "664ac5c0c88927e6ddc48323",
"author": "failspy",
"cardData": {
"library_name": "transformers",
"license": "llama3"
},
"config": {
"architectures": [
"LlamaForCausalLM"
],
"model_type": "llama",
"tokenizer_config": {
"bos_token": "<|begin_of_text|>",
"chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
"eos_token": "<|eot_id|>"
}
},
"createdAt": "2024-05-20T03:38:40.000Z",
"disabled": false,
"downloads": 9348,
"gated": false,
"id": "failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
"inference": "warm",
"lastModified": "2024-05-30T12:39:03.000Z",
"library_name": "transformers",
"likes": 65,
"model-index": null,
"modelId": "failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"BF16": 8030261248
},
"total": 8030261248
},
"sha": "85a25be002841fe738a5267b6806473f36f86715",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "config.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model-00001-of-00004.safetensors"
},
{
"rfilename": "model-00002-of-00004.safetensors"
},
{
"rfilename": "model-00003-of-00004.safetensors"
},
{
"rfilename": "model-00004-of-00004.safetensors"
},
{
"rfilename": "model.safetensors.index.json"
},
{
"rfilename": "special_tokens_map.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
}
],
"spaces": [
"modelpulse/model-pulse",
"featherless-ai/try-this-model",
"eduagarcia/open_pt_llm_leaderboard",
"openfree/Korean-Leaderboard-backup1",
"Darok/Featherless-Feud",
"emekaboris/try-this-model",
"SC999/NV_Nemotron",
"kamran-r123/SD-Prompt-Generator",
"JackHoltone/try-this-model",
"k11112/try-this-model",
"lxzxrusblxck/lxzbyrinth",
"SrRooT/try-this-model",
"KhalilAbbas/llama-3-8b-instruct-abliterated"
],
"tags": [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"license:llama3",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 16060556376,
"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": "failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
"_id": "664ac5c0c88927e6ddc48323",
"author": "failspy",
"cardData": {
"library_name": "transformers",
"license": "llama3"
},
"config": {
"architectures": [
"LlamaForCausalLM"
],
"model_type": "llama",
"tokenizer_config": {
"bos_token": "<|begin_of_text|>",
"chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
"eos_token": "<|eot_id|>"
}
},
"createdAt": "2024-05-20T03:38:40.000Z",
"disabled": false,
"downloads": 9348,
"gated": false,
"id": "failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
"inference": "warm",
"lastModified": "2024-05-30T12:39:03.000Z",
"library_name": "transformers",
"likes": 65,
"model-index": null,
"modelId": "failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"BF16": 8030261248
},
"total": 8030261248
},
"sha": "85a25be002841fe738a5267b6806473f36f86715",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "config.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model-00001-of-00004.safetensors"
},
{
"rfilename": "model-00002-of-00004.safetensors"
},
{
"rfilename": "model-00003-of-00004.safetensors"
},
{
"rfilename": "model-00004-of-00004.safetensors"
},
{
"rfilename": "model.safetensors.index.json"
},
{
"rfilename": "special_tokens_map.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
}
],
"spaces": [
"modelpulse/model-pulse",
"featherless-ai/try-this-model",
"eduagarcia/open_pt_llm_leaderboard",
"openfree/Korean-Leaderboard-backup1",
"Darok/Featherless-Feud",
"emekaboris/try-this-model",
"SC999/NV_Nemotron",
"kamran-r123/SD-Prompt-Generator",
"JackHoltone/try-this-model",
"k11112/try-this-model",
"lxzxrusblxck/lxzbyrinth",
"SrRooT/try-this-model",
"KhalilAbbas/llama-3-8b-instruct-abliterated"
],
"tags": [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"license:llama3",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 16060556376,
"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/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3.