Merge pull request #1035 from janhq/update-ctxlen

Update ctx_len and max_tokens
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hiro 2023-12-16 10:23:12 +07:00 committed by GitHub
commit 2b0048ff51
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18 changed files with 36 additions and 36 deletions

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@ -7,11 +7,11 @@
"description": "Nous Capybara 34B, a variant of the Yi-34B model, is the first Nous model with a 200K context length, trained for three epochs on the innovative Capybara dataset.", "description": "Nous Capybara 34B, a variant of the Yi-34B model, is the first Nous model with a 200K context length, trained for three epochs on the innovative Capybara dataset.",
"format": "gguf", "format": "gguf",
"settings": { "settings": {
"ctx_len": 2048, "ctx_len": 4096,
"prompt_template": "USER:\n{prompt}\nASSISTANT:" "prompt_template": "USER:\n{prompt}\nASSISTANT:"
}, },
"parameters": { "parameters": {
"max_tokens": 2048 "max_tokens": 4096
}, },
"metadata": { "metadata": {
"author": "NousResearch, The Bloke", "author": "NousResearch, The Bloke",

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@ -8,11 +8,11 @@
"description": "Deepseek Coder trained on 2T tokens (87% code, 13% English/Chinese), excelling in project-level code completion with advanced capabilities across multiple programming languages.", "description": "Deepseek Coder trained on 2T tokens (87% code, 13% English/Chinese), excelling in project-level code completion with advanced capabilities across multiple programming languages.",
"format": "gguf", "format": "gguf",
"settings": { "settings": {
"ctx_len": 2048, "ctx_len": 4096,
"prompt_template": "### Instruction:\n{prompt}\n### Response:" "prompt_template": "### Instruction:\n{prompt}\n### Response:"
}, },
"parameters": { "parameters": {
"max_tokens": 2048 "max_tokens": 4096
}, },
"metadata": { "metadata": {
"author": "Deepseek, The Bloke", "author": "Deepseek, The Bloke",

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@ -7,11 +7,11 @@
"description": "Deepseek Coder trained on 2T tokens (87% code, 13% English/Chinese), excelling in project-level code completion with advanced capabilities across multiple programming languages.", "description": "Deepseek Coder trained on 2T tokens (87% code, 13% English/Chinese), excelling in project-level code completion with advanced capabilities across multiple programming languages.",
"format": "gguf", "format": "gguf",
"settings": { "settings": {
"ctx_len": 2048, "ctx_len": 4096,
"prompt_template": "### Instruction:\n{prompt}\n### Response:" "prompt_template": "### Instruction:\n{prompt}\n### Response:"
}, },
"parameters": { "parameters": {
"max_tokens": 2048 "max_tokens": 4096
}, },
"metadata": { "metadata": {
"author": "Deepseek, The Bloke", "author": "Deepseek, The Bloke",

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@ -7,11 +7,11 @@
"description": "This is a 4-bit quantized version of Meta AI's Llama 2 Chat 70b model.", "description": "This is a 4-bit quantized version of Meta AI's Llama 2 Chat 70b model.",
"format": "gguf", "format": "gguf",
"settings": { "settings": {
"ctx_len": 2048, "ctx_len": 4096,
"prompt_template": "[INST] <<SYS>>\n{system_message}<</SYS>>\n{prompt}[/INST]" "prompt_template": "[INST] <<SYS>>\n{system_message}<</SYS>>\n{prompt}[/INST]"
}, },
"parameters": { "parameters": {
"max_tokens": 2048 "max_tokens": 4096
}, },
"metadata": { "metadata": {
"author": "MetaAI, The Bloke", "author": "MetaAI, The Bloke",

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@ -7,11 +7,11 @@
"description": "This is a 4-bit quantized iteration of Meta AI's Llama 2 Chat 7b model, specifically designed for a comprehensive understanding through training on extensive internet data.", "description": "This is a 4-bit quantized iteration of Meta AI's Llama 2 Chat 7b model, specifically designed for a comprehensive understanding through training on extensive internet data.",
"format": "gguf", "format": "gguf",
"settings": { "settings": {
"ctx_len": 2048, "ctx_len": 4096,
"prompt_template": "[INST] <<SYS>>\n{system_message}<</SYS>>\n{prompt}[/INST]" "prompt_template": "[INST] <<SYS>>\n{system_message}<</SYS>>\n{prompt}[/INST]"
}, },
"parameters": { "parameters": {
"max_tokens": 2048 "max_tokens": 4096
}, },
"metadata": { "metadata": {
"author": "MetaAI, The Bloke", "author": "MetaAI, The Bloke",

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@ -7,11 +7,11 @@
"description": "lzlv_70B is a sophisticated AI model designed for roleplaying and creative tasks. This merge aims to combine intelligence with creativity, seemingly outperforming its individual components in complex scenarios and creative outputs.", "description": "lzlv_70B is a sophisticated AI model designed for roleplaying and creative tasks. This merge aims to combine intelligence with creativity, seemingly outperforming its individual components in complex scenarios and creative outputs.",
"format": "gguf", "format": "gguf",
"settings": { "settings": {
"ctx_len": 2048, "ctx_len": 4096,
"prompt_template": "USER:\n{prompt}\nASSISTANT:" "prompt_template": "USER:\n{prompt}\nASSISTANT:"
}, },
"parameters": { "parameters": {
"max_tokens": 2048 "max_tokens": 4096
}, },
"metadata": { "metadata": {
"author": "Lizpreciatior, The Bloke", "author": "Lizpreciatior, The Bloke",

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@ -7,14 +7,14 @@
"description": "This is a 4-bit quantized iteration of MistralAI's Mistral Instruct 7b model, specifically designed for a comprehensive understanding through training on extensive internet data.", "description": "This is a 4-bit quantized iteration of MistralAI's Mistral Instruct 7b model, specifically designed for a comprehensive understanding through training on extensive internet data.",
"format": "gguf", "format": "gguf",
"settings": { "settings": {
"ctx_len": 2048, "ctx_len": 4096,
"system_prompt": "", "system_prompt": "",
"user_prompt": "<s>[INST]", "user_prompt": "<s>[INST]",
"ai_prompt": "[/INST]", "ai_prompt": "[/INST]",
"prompt_template": "<s>[INST]{prompt}\n[/INST]" "prompt_template": "<s>[INST]{prompt}\n[/INST]"
}, },
"parameters": { "parameters": {
"max_tokens": 2048 "max_tokens": 4096
}, },
"metadata": { "metadata": {
"author": "MistralAI, The Bloke", "author": "MistralAI, The Bloke",

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@ -7,11 +7,11 @@
"description": "The Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts. The Mixtral-8x7B outperforms Llama 2 70B on most benchmarks we tested.", "description": "The Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts. The Mixtral-8x7B outperforms Llama 2 70B on most benchmarks we tested.",
"format": "gguf", "format": "gguf",
"settings": { "settings": {
"ctx_len": 2048, "ctx_len": 4096,
"prompt_template": "[INST] {prompt} [/INST]" "prompt_template": "[INST] {prompt} [/INST]"
}, },
"parameters": { "parameters": {
"max_tokens": 2048 "max_tokens": 4096
}, },
"metadata": { "metadata": {
"author": "MistralAI, TheBloke", "author": "MistralAI, TheBloke",

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@ -7,11 +7,11 @@
"description": "The Noromaid 20b model is designed for role-playing and general use, featuring a unique touch with the no_robots dataset that enhances human-like behavior.", "description": "The Noromaid 20b model is designed for role-playing and general use, featuring a unique touch with the no_robots dataset that enhances human-like behavior.",
"format": "gguf", "format": "gguf",
"settings": { "settings": {
"ctx_len": 2048, "ctx_len": 4096,
"prompt_template": "### Instruction:{prompt}\n### Response:" "prompt_template": "### Instruction:{prompt}\n### Response:"
}, },
"parameters": { "parameters": {
"max_tokens": 2048 "max_tokens": 4096
}, },
"metadata": { "metadata": {
"author": "NeverSleep, The Bloke", "author": "NeverSleep, The Bloke",

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@ -7,11 +7,11 @@
"description": "OpenHermes Neural is a merged model using the TIES method.", "description": "OpenHermes Neural is a merged model using the TIES method.",
"format": "gguf", "format": "gguf",
"settings": { "settings": {
"ctx_len": 2048, "ctx_len": 4096,
"prompt_template": "<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant" "prompt_template": "<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant"
}, },
"parameters": { "parameters": {
"max_tokens": 2048 "max_tokens": 4096
}, },
"metadata": { "metadata": {
"author": "Intel, Jan", "author": "Intel, Jan",

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@ -7,11 +7,11 @@
"description": "Pandora, our research model, employs the Passthrough merging technique to merge 2x7B models into 1.", "description": "Pandora, our research model, employs the Passthrough merging technique to merge 2x7B models into 1.",
"format": "gguf", "format": "gguf",
"settings": { "settings": {
"ctx_len": 2048, "ctx_len": 4096,
"prompt_template": "<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant" "prompt_template": "<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant"
}, },
"parameters": { "parameters": {
"max_tokens": 2048 "max_tokens": 4096
}, },
"metadata": { "metadata": {
"author": "Jan", "author": "Jan",

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@ -7,11 +7,11 @@
"description": "Phind-CodeLlama-34B-v2 is an AI model fine-tuned on 1.5B tokens of high-quality programming data. It's a SOTA open-source model in coding. This multi-lingual model excels in various programming languages, including Python, C/C++, TypeScript, Java, and is designed to be steerable and user-friendly.", "description": "Phind-CodeLlama-34B-v2 is an AI model fine-tuned on 1.5B tokens of high-quality programming data. It's a SOTA open-source model in coding. This multi-lingual model excels in various programming languages, including Python, C/C++, TypeScript, Java, and is designed to be steerable and user-friendly.",
"format": "gguf", "format": "gguf",
"settings": { "settings": {
"ctx_len": 2048, "ctx_len": 4096,
"prompt_template": "### System Prompt\n{system_message}\n### User Message\n{prompt}\n### Assistant" "prompt_template": "### System Prompt\n{system_message}\n### User Message\n{prompt}\n### Assistant"
}, },
"parameters": { "parameters": {
"max_tokens": 2048 "max_tokens": 4096
}, },
"metadata": { "metadata": {
"author": "Phind, The Bloke", "author": "Phind, The Bloke",

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@ -7,11 +7,11 @@
"description": "SOLAR-10.7B model built on the Llama2 architecture with Depth Up-Scaling and integrated Mistral 7B weights. Its robustness and adaptability make it ideal for fine-tuning applications, significantly enhancing performance with simple instruction-based techniques.", "description": "SOLAR-10.7B model built on the Llama2 architecture with Depth Up-Scaling and integrated Mistral 7B weights. Its robustness and adaptability make it ideal for fine-tuning applications, significantly enhancing performance with simple instruction-based techniques.",
"format": "gguf", "format": "gguf",
"settings": { "settings": {
"ctx_len": 2048, "ctx_len": 4096,
"prompt_template": "### User: {prompt}\n### Assistant:" "prompt_template": "### User: {prompt}\n### Assistant:"
}, },
"parameters": { "parameters": {
"max_tokens": 2048 "max_tokens": 4096
}, },
"metadata": { "metadata": {
"author": "Upstage, Jan", "author": "Upstage, Jan",

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@ -7,11 +7,11 @@
"description": "This model uses the Slerp merge method from SOLAR Instruct and Pandora-v1", "description": "This model uses the Slerp merge method from SOLAR Instruct and Pandora-v1",
"format": "gguf", "format": "gguf",
"settings": { "settings": {
"ctx_len": 2048, "ctx_len": 4096,
"prompt_template": "### User: {prompt}\n### Assistant:" "prompt_template": "### User: {prompt}\n### Assistant:"
}, },
"parameters": { "parameters": {
"max_tokens": 2048 "max_tokens": 4096
}, },
"metadata": { "metadata": {
"author": "Jan", "author": "Jan",

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@ -7,11 +7,11 @@
"description": "Starling-RM-7B-alpha is a language model finetuned with Reinforcement Learning from AI Feedback from Openchat 3.5. It stands out for its impressive performance using GPT-4 as a judge, making it one of the top-performing models in its category.", "description": "Starling-RM-7B-alpha is a language model finetuned with Reinforcement Learning from AI Feedback from Openchat 3.5. It stands out for its impressive performance using GPT-4 as a judge, making it one of the top-performing models in its category.",
"format": "gguf", "format": "gguf",
"settings": { "settings": {
"ctx_len": 2048, "ctx_len": 4096,
"prompt_template": "GPT4 User: {prompt}<|end_of_turn|>GPT4 Assistant:" "prompt_template": "GPT4 User: {prompt}<|end_of_turn|>GPT4 Assistant:"
}, },
"parameters": { "parameters": {
"max_tokens": 2048 "max_tokens": 4096
}, },
"metadata": { "metadata": {
"author": "Berkeley-nest, The Bloke", "author": "Berkeley-nest, The Bloke",

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@ -7,11 +7,11 @@
"description": "Trinity is an experimental model merge of GreenNodeLM & LeoScorpius using the Slerp method. Recommended for daily assistance purposes.", "description": "Trinity is an experimental model merge of GreenNodeLM & LeoScorpius using the Slerp method. Recommended for daily assistance purposes.",
"format": "gguf", "format": "gguf",
"settings": { "settings": {
"ctx_len": 2048, "ctx_len": 4096,
"prompt_template": "<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant" "prompt_template": "<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant"
}, },
"parameters": { "parameters": {
"max_tokens": 2048 "max_tokens": 4096
}, },
"metadata": { "metadata": {
"author": "Jan", "author": "Jan",

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@ -7,11 +7,11 @@
"description": "WizardCoder-Python-13B is a Python coding model major models like ChatGPT-3.5. This model based on the Llama2 architecture, demonstrate high proficiency in specific domains like coding and mathematics.", "description": "WizardCoder-Python-13B is a Python coding model major models like ChatGPT-3.5. This model based on the Llama2 architecture, demonstrate high proficiency in specific domains like coding and mathematics.",
"format": "gguf", "format": "gguf",
"settings": { "settings": {
"ctx_len": 2048, "ctx_len": 4096,
"prompt_template": "### Instruction:\n{prompt}\n### Response:" "prompt_template": "### Instruction:\n{prompt}\n### Response:"
}, },
"parameters": { "parameters": {
"max_tokens": 2048 "max_tokens": 4096
}, },
"metadata": { "metadata": {
"author": "WizardLM, The Bloke", "author": "WizardLM, The Bloke",

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@ -7,11 +7,11 @@
"description": "Yi-34B, a specialized chat model, is known for its diverse and creative responses and excels across various NLP tasks and benchmarks.", "description": "Yi-34B, a specialized chat model, is known for its diverse and creative responses and excels across various NLP tasks and benchmarks.",
"format": "gguf", "format": "gguf",
"settings": { "settings": {
"ctx_len": 2048, "ctx_len": 4096,
"prompt_template": "<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant" "prompt_template": "<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant"
}, },
"parameters": { "parameters": {
"max_tokens": 2048 "max_tokens": 4096
}, },
"metadata": { "metadata": {
"author": "01-ai, The Bloke", "author": "01-ai, The Bloke",