Datasets:

reach-vb

/

gguf-stats

like 16

[ "transformers", "gguf", "mistral", "base_model:Weyaxi/OpenHermes-2.5-neural-chat-7b-v3-1-7B", "base_model:quantized:Weyaxi/OpenHermes-2.5-neural-chat-7b-v3-1-7B", "license:apache-2.0", "region:us" ]

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[ "transformers", "safetensors", "gguf", "t5", "text2text-generation", "text-generation-inference", "translation", "multilingual", "en", "ru", "es", "fr", "de", "it", "pt", "pl", "nl", "vi", "tr", "sv", "id", "ro", "cs", "zh", "hu", "ja", "th", "fi", "fa", "uk", "da", "el", "no", "bg", "sk", "ko", "ar", "lt", "ca", "sl", "he", "et", "lv", "hi", "sq", "ms", "az", "sr", "ta", "hr", "kk", "is", "ml", "mr", "te", "af", "gl", "fil", "be", "mk", "eu", "bn", "ka", "mn", "bs", "uz", "ur", "sw", "yue", "ne", "kn", "kaa", "gu", "si", "cy", "eo", "la", "hy", "ky", "tg", "ga", "mt", "my", "km", "tt", "so", "ku", "ps", "pa", "rw", "lo", "ha", "dv", "fy", "lb", "ckb", "mg", "gd", "am", "ug", "ht", "grc", "hmn", "sd", "jv", "mi", "tk", "ceb", "yi", "ba", "fo", "or", "xh", "su", "kl", "ny", "sm", "sn", "co", "zu", "ig", "yo", "pap", "st", "haw", "as", "oc", "cv", "lus", "tet", "gsw", "sah", "br", "rm", "sa", "bo", "om", "se", "ce", "cnh", "ilo", "hil", "udm", "os", "lg", "ti", "vec", "ts", "tyv", "kbd", "ee", "iba", "av", "kha", "to", "tn", "nso", "fj", "zza", "ak", "ada", "otq", "dz", "bua", "cfm", "ln", "chm", "gn", "krc", "wa", "hif", "yua", "srn", "war", "rom", "bik", "pam", "sg", "lu", "ady", "kbp", "syr", "ltg", "myv", "iso", "kac", "bho", "ay", "kum", "qu", "za", "pag", "ngu", "ve", "pck", "zap", "tyz", "hui", "bbc", "tzo", "tiv", "ksd", "gom", "min", "ang", "nhe", "bgp", "nzi", "nnb", "nv", "zxx", "bci", "kv", "new", "mps", "alt", "meu", "bew", "fon", "iu", "abt", "mgh", "mnw", "tvl", "dov", "tlh", "ho", "kw", "mrj", "meo", "crh", "mbt", "emp", "ace", "ium", "mam", "gym", "mai", "crs", "pon", "ubu", "fip", "quc", "gv", "kj", "btx", "ape", "chk", "rcf", "shn", "tzh", "mdf", "ppk", "ss", "gag", "cab", "kri", "seh", "ibb", "tbz", "bru", "enq", "ach", "cuk", "kmb", "wo", "kek", "qub", "tab", "bts", "kos", "rwo", "cak", "tuc", "bum", "cjk", "gil", "stq", "tsg", "quh", "mak", "arn", "ban", "jiv", "sja", "yap", "tcy", "toj", "twu", "xal", "amu", "rmc", "hus", "nia", "kjh", "bm", "guh", "mas", "acf", "dtp", "ksw", "bzj", "din", "zne", "mad", "msi", "mag", "mkn", "kg", "lhu", "ch", "qvi", "mh", "djk", "sus", "mfe", "srm", "dyu", "ctu", "gui", "pau", "inb", "bi", "mni", "guc", "jam", "wal", "jac", "bas", "gor", "skr", "nyu", "noa", "sda", "gub", "nog", "cni", "teo", "tdx", "sxn", "rki", "nr", "frp", "alz", "taj", "lrc", "cce", "rn", "jvn", "hvn", "nij", "dwr", "izz", "msm", "bus", "ktu", "chr", "maz", "tzj", "suz", "knj", "bim", "gvl", "bqc", "tca", "pis", "prk", "laj", "mel", "qxr", "niq", "ahk", "shp", "hne", "spp", "koi", "krj", "quf", "luz", "agr", "tsc", "mqy", "gof", "gbm", "miq", "dje", "awa", "bjj", "qvz", "sjp", "tll", "raj", "kjg", "bgz", "quy", "cbk", "akb", "oj", "ify", "mey", "ks", "cac", "brx", "qup", "syl", "jax", "ff", "ber", "tks", "trp", "mrw", "adh", "smt", "srr", "ffm", "qvc", "mtr", "ann", "aa", "noe", "nut", "gyn", "kwi", "xmm", "msb", "dataset:allenai/MADLAD-400", "arxiv:2309.04662", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "region:us" ]

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[ "transformers", "safetensors", "gguf", "t5", "text2text-generation", "text-generation-inference", "translation", "multilingual", "en", "ru", "es", "fr", "de", "it", "pt", "pl", "nl", "vi", "tr", "sv", "id", "ro", "cs", "zh", "hu", "ja", "th", "fi", "fa", "uk", "da", "el", "no", "bg", "sk", "ko", "ar", "lt", "ca", "sl", "he", "et", "lv", "hi", "sq", "ms", "az", "sr", "ta", "hr", "kk", "is", "ml", "mr", "te", "af", "gl", "fil", "be", "mk", "eu", "bn", "ka", "mn", "bs", "uz", "ur", "sw", "yue", "ne", "kn", "kaa", "gu", "si", "cy", "eo", "la", "hy", "ky", "tg", "ga", "mt", "my", "km", "tt", "so", "ku", "ps", "pa", "rw", "lo", "ha", "dv", "fy", "lb", "ckb", "mg", "gd", "am", "ug", "ht", "grc", "hmn", "sd", "jv", "mi", "tk", "ceb", "yi", "ba", "fo", "or", "xh", "su", "kl", "ny", "sm", "sn", "co", "zu", "ig", "yo", "pap", "st", "haw", "as", "oc", "cv", "lus", "tet", "gsw", "sah", "br", "rm", "sa", "bo", "om", "se", "ce", "cnh", "ilo", "hil", "udm", "os", "lg", "ti", "vec", "ts", "tyv", "kbd", "ee", "iba", "av", "kha", "to", "tn", "nso", "fj", "zza", "ak", "ada", "otq", "dz", "bua", "cfm", "ln", "chm", "gn", "krc", "wa", "hif", "yua", "srn", "war", "rom", "bik", "pam", "sg", "lu", "ady", "kbp", "syr", "ltg", "myv", "iso", "kac", "bho", "ay", "kum", "qu", "za", "pag", "ngu", "ve", "pck", "zap", "tyz", "hui", "bbc", "tzo", "tiv", "ksd", "gom", "min", "ang", "nhe", "bgp", "nzi", "nnb", "nv", "zxx", "bci", "kv", "new", "mps", "alt", "meu", "bew", "fon", "iu", "abt", "mgh", "mnw", "tvl", "dov", "tlh", "ho", "kw", "mrj", "meo", "crh", "mbt", "emp", "ace", "ium", "mam", "gym", "mai", "crs", "pon", "ubu", "fip", "quc", "gv", "kj", "btx", "ape", "chk", "rcf", "shn", "tzh", "mdf", "ppk", "ss", "gag", "cab", "kri", "seh", "ibb", "tbz", "bru", "enq", "ach", "cuk", "kmb", "wo", "kek", "qub", "tab", "bts", "kos", "rwo", "cak", "tuc", "bum", "cjk", "gil", "stq", "tsg", "quh", "mak", "arn", "ban", "jiv", "sja", "yap", "tcy", "toj", "twu", "xal", "amu", "rmc", "hus", "nia", "kjh", "bm", "guh", "mas", "acf", "dtp", "ksw", "bzj", "din", "zne", "mad", "msi", "mag", "mkn", "kg", "lhu", "ch", "qvi", "mh", "djk", "sus", "mfe", "srm", "dyu", "ctu", "gui", "pau", "inb", "bi", "mni", "guc", "jam", "wal", "jac", "bas", "gor", "skr", "nyu", "noa", "sda", "gub", "nog", "cni", "teo", "tdx", "sxn", "rki", "nr", "frp", "alz", "taj", "lrc", "cce", "rn", "jvn", "hvn", "nij", "dwr", "izz", "msm", "bus", "ktu", "chr", "maz", "tzj", "suz", "knj", "bim", "gvl", "bqc", "tca", "pis", "prk", "laj", "mel", "qxr", "niq", "ahk", "shp", "hne", "spp", "koi", "krj", "quf", "luz", "agr", "tsc", "mqy", "gof", "gbm", "miq", "dje", "awa", "bjj", "qvz", "sjp", "tll", "raj", "kjg", "bgz", "quy", "cbk", "akb", "oj", "ify", "mey", "ks", "cac", "brx", "qup", "syl", "jax", "ff", "ber", "tks", "trp", "mrw", "adh", "smt", "srr", "ffm", "qvc", "mtr", "ann", "aa", "noe", "nut", "gyn", "kwi", "xmm", "msb", "dataset:allenai/MADLAD-400", "arxiv:2309.04662", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "region:us" ]

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[ "gguf", "generated_from_trainer", "ggml", "quantized", "q2_k", "q3_k_m", "q4_k_m", "q5_k_m", "q6_k", "q8_0", "text-generation", "base_model:amazingvince/zephyr-smol_llama-100m-sft-full", "base_model:quantized:amazingvince/zephyr-smol_llama-100m-sft-full", "license:apache-2.0", "region:us", "conversational" ]

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[ "gguf", "ggml", "quantized", "q2_k", "q3_k_m", "q4_k_m", "q5_k_m", "q6_k", "q8_0", "text-generation", "ms", "region:us" ]

[ { "rfilename": ".gitattributes" }, { "rfilename": "README.md" }, { "rfilename": "malaysian-mistral-1.1b-4096.fp16.gguf" }, { "rfilename": "malaysian-mistral-1.1b-4096.q2_k.gguf" }, { "rfilename": "malaysian-mistral-1.1b-4096.q3_k_m.gguf" }, { "rfilename": "malaysian-mistral-1.1b-4096.q4_k_m.gguf" }, { "rfilename": "malaysian-mistral-1.1b-4096.q5_k_m.gguf" }, { "rfilename": "malaysian-mistral-1.1b-4096.q6_k.gguf" }, { "rfilename": "malaysian-mistral-1.1b-4096.q8_0.gguf" } ]

[ "transformers", "gguf", "deepseek", "base_model:deepseek-ai/deepseek-llm-67b-chat", "base_model:quantized:deepseek-ai/deepseek-llm-67b-chat", "license:other", "region:us", "conversational" ]

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[ "gguf", "llava", "image-text-to-text", "region:us" ]

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[ "gguf", "medical", "ggml", "quantized", "q2_k", "q3_k_m", "q4_k_m", "q5_k_m", "q6_k", "q8_0", "text-generation", "en", "dataset:SumayyaAli/accu_qa_dataset", "base_model:SumayyaAli/tiny-llama-1.1b-chat-medical", "base_model:quantized:SumayyaAli/tiny-llama-1.1b-chat-medical", "region:us", "conversational" ]

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[ "transformers", "safetensors", "llama", "text-generation", "facebook", "meta", "pytorch", "llama-2", "gguf", "function-calling", "function calling", "conversational", "en", "arxiv:2307.09288", "autotrain_compatible", "text-generation-inference", "region:us" ]

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[ "gguf", "mistral", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "distillation", "multimodal", "llava", "image-text-to-text", "en", "base_model:mistralai/Mistral-7B-v0.1", "base_model:quantized:mistralai/Mistral-7B-v0.1", "license:apache-2.0", "region:us" ]

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[ "transformers", "gguf", "stablelm", "causal-lm", "en", "dataset:HuggingFaceH4/ultrachat_200k", "dataset:HuggingFaceH4/ultrafeedback_binarized", "dataset:meta-math/MetaMathQA", "dataset:WizardLM/WizardLM_evol_instruct_V2_196k", "dataset:Intel/orca_dpo_pairs", "arxiv:2305.18290", "base_model:stabilityai/stablelm-zephyr-3b", "base_model:quantized:stabilityai/stablelm-zephyr-3b", "license:other", "region:us", "conversational" ]

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[ "transformers", "gguf", "llama", "text-generation", "base_model:ddh0/OrcaMaid-13b", "base_model:quantized:ddh0/OrcaMaid-13b", "license:other", "region:us" ]

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[ "transformers", "gguf", "mistral", "text-generation", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "region:us" ]

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[ "transformers", "gguf", "mixtral", "fr", "it", "de", "es", "en", "base_model:mistralai/Mixtral-8x7B-Instruct-v0.1", "base_model:quantized:mistralai/Mixtral-8x7B-Instruct-v0.1", "license:apache-2.0", "region:us", "conversational" ]

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[ "transformers", "gguf", "llama", "Medicine", "en", "dataset:yahma/alpaca-cleaned", "base_model:malhajar/meditron-7b-chat", "base_model:quantized:malhajar/meditron-7b-chat", "license:llama2", "region:us" ]

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[ "transformers", "gguf", "mixtral", "en", "dataset:ehartford/dolphin", "dataset:jondurbin/airoboros-2.2.1", "dataset:ehartford/dolphin-coder", "dataset:migtissera/Synthia-v1.3", "dataset:teknium/openhermes", "dataset:ise-uiuc/Magicoder-OSS-Instruct-75K", "dataset:ise-uiuc/Magicoder-Evol-Instruct-110K", "dataset:LDJnr/Pure-Dove", "base_model:cognitivecomputations/dolphin-2.5-mixtral-8x7b", "base_model:quantized:cognitivecomputations/dolphin-2.5-mixtral-8x7b", "license:apache-2.0", "region:us", "conversational" ]

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[ "transformers", "gguf", "llama", "en", "license:apache-2.0", "region:us", "conversational" ]

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[ "transformers", "gguf", "llama", "en", "license:llama2", "endpoints_compatible", "region:us" ]

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[ "transformers", "gguf", "relullama", "en", "license:llama2", "endpoints_compatible", "region:us" ]

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[ "transformers", "gguf", "mpt", "text-generation", "custom_code", "autotrain_compatible", "endpoints_compatible", "region:us" ]

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[ "gguf", "qwen", "text-generation", "zh", "en", "arxiv:2309.16609", "arxiv:2305.08322", "arxiv:2009.03300", "arxiv:2305.05280", "arxiv:2210.03629", "base_model:Qwen/Qwen-7B-Chat", "base_model:quantized:Qwen/Qwen-7B-Chat", "region:us" ]

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[ "transformers", "gguf", "phi-msft", "nlp", "code", "text-generation", "en", "base_model:microsoft/phi-2", "base_model:quantized:microsoft/phi-2", "license:other", "region:us" ]

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[ "transformers", "gguf", "solar", "base_model:w4r10ck/SOLAR-10.7B-Instruct-v1.0-uncensored", "base_model:quantized:w4r10ck/SOLAR-10.7B-Instruct-v1.0-uncensored", "license:apache-2.0", "region:us" ]

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[ "gguf", "endpoints_compatible", "region:us", "imatrix", "conversational" ]

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[ "transformers", "gguf", "llama", "text-generation", "en", "base_model:Kooten/DaringMaid-20B", "base_model:quantized:Kooten/DaringMaid-20B", "license:cc-by-nc-4.0", "region:us" ]

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[ "gguf", "license:llama2", "region:us" ]

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[ "transformers", "gguf", "mixtral", "en", "dataset:ehartford/dolphin", "dataset:jondurbin/airoboros-2.2.1", "dataset:ehartford/dolphin-coder", "dataset:teknium/openhermes", "dataset:ise-uiuc/Magicoder-OSS-Instruct-75K", "dataset:ise-uiuc/Magicoder-Evol-Instruct-110K", "dataset:LDJnr/Capybara", "base_model:cognitivecomputations/dolphin-2.6-mixtral-8x7b", "base_model:quantized:cognitivecomputations/dolphin-2.6-mixtral-8x7b", "license:apache-2.0", "region:us", "conversational" ]

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[ "gguf", "text-generation", "vi", "base_model:vinai/PhoGPT-7B5-Instruct", "base_model:quantized:vinai/PhoGPT-7B5-Instruct", "license:other", "region:us" ]

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[ "gguf", "license:other", "endpoints_compatible", "region:us" ]

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[ "transformers", "gguf", "llama", "text-generation", "en", "base_model:Kooten/DaringMaid-13B", "base_model:quantized:Kooten/DaringMaid-13B", "license:cc-by-nc-4.0", "region:us" ]

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[ "transformers", "gguf", "mixtral", "endpoints_compatible", "region:us", "conversational" ]

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[ "transformers", "gguf", "mistral", "base_model:OpenPipe/mistral-ft-optimized-1227", "base_model:quantized:OpenPipe/mistral-ft-optimized-1227", "license:apache-2.0", "region:us" ]

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[ "transformers", "gguf", "llama", "legal", "text-generation", "en", "dataset:Open-Orca/OpenOrca", "dataset:GAIR/lima", "dataset:WizardLM/WizardLM_evol_instruct_V2_196k", "dataset:EleutherAI/pile", "arxiv:2309.09530", "base_model:AdaptLLM/law-LLM-13B", "base_model:quantized:AdaptLLM/law-LLM-13B", "license:other", "region:us" ]

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[ "transformers", "gguf", "tinyllama", "en", "dataset:cerebras/SlimPajama-627B", "dataset:bigcode/starcoderdata", "dataset:OpenAssistant/oasst_top1_2023-08-25", "base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0", "base_model:quantized:TinyLlama/TinyLlama-1.1B-Chat-v1.0", "license:apache-2.0", "region:us", "conversational" ]

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[ "transformers", "gguf", "mixtral", "en", "dataset:ehartford/dolphin", "dataset:jondurbin/airoboros-2.2.1", "dataset:ehartford/dolphin-coder", "dataset:teknium/openhermes", "dataset:ise-uiuc/Magicoder-OSS-Instruct-75K", "dataset:ise-uiuc/Magicoder-Evol-Instruct-110K", "dataset:LDJnr/Capybara", "base_model:cognitivecomputations/dolphin-2.7-mixtral-8x7b", "base_model:quantized:cognitivecomputations/dolphin-2.7-mixtral-8x7b", "license:apache-2.0", "region:us", "conversational" ]

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[ "transformers", "gguf", "text-generation", "zh", "en", "license:openrail", "endpoints_compatible", "region:us" ]

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[ "transformers", "gguf", "solar", "SOLAR", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "distillation", "en", "base_model:NousResearch/Nous-Hermes-2-SOLAR-10.7B", "base_model:quantized:NousResearch/Nous-Hermes-2-SOLAR-10.7B", "license:apache-2.0", "region:us" ]

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[ "transformers", "gguf", "text-generation", "zh", "en", "license:openrail", "endpoints_compatible", "region:us" ]

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[ "transformers", "gguf", "mixtral", "text-generation", "zh", "en", "fr", "de", "ja", "ko", "it", "ru", "base_model:OpenBuddy/openbuddy-mixtral-7bx8-v16.3-32k", "base_model:quantized:OpenBuddy/openbuddy-mixtral-7bx8-v16.3-32k", "license:apache-2.0", "region:us" ]

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[ "transformers", "gguf", "deepseek", "code", "arxiv:2304.12244", "arxiv:2306.08568", "arxiv:2308.09583", "base_model:WizardLMTeam/WizardCoder-33B-V1.1", "base_model:quantized:WizardLMTeam/WizardCoder-33B-V1.1", "model-index", "region:us" ]

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[ "transformers", "gguf", "phi-msft", "nlp", "code", "text-generation", "en", "base_model:lxuechen/phi-2-dpo", "base_model:quantized:lxuechen/phi-2-dpo", "license:other", "model-index", "region:us" ]

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[ "transformers", "gguf", "mixtral", "text-generation", "en", "dataset:lemonilia/LimaRP", "base_model:Doctor-Shotgun/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss", "base_model:quantized:Doctor-Shotgun/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss", "license:apache-2.0", "region:us", "conversational" ]

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[ "transformers", "gguf", "text-generation", "zh", "en", "license:openrail", "endpoints_compatible", "region:us" ]

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[ "transformers", "gguf", "llama", "base_model:TencentARC/LLaMA-Pro-8B-Instruct", "base_model:quantized:TencentARC/LLaMA-Pro-8B-Instruct", "license:llama2", "region:us", "conversational" ]

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[ "transformers", "pytorch", "gguf", "llava_mistral", "text-generation", "mistral", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "distillation", "multimodal", "llava", "conversational", "en", "base_model:mistralai/Mistral-7B-v0.1", "base_model:quantized:mistralai/Mistral-7B-v0.1", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "region:us" ]

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[ "transformers", "gguf", "mistral", "en", "dataset:ehartford/dolphin", "dataset:jondurbin/airoboros-2.2.1", "dataset:ehartford/dolphin-coder", "dataset:teknium/openhermes", "dataset:ise-uiuc/Magicoder-OSS-Instruct-75K", "dataset:ise-uiuc/Magicoder-Evol-Instruct-110K", "dataset:LDJnr/Capybara", "arxiv:2312.13558", "base_model:cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser", "base_model:quantized:cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser", "license:apache-2.0", "region:us" ]

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[ "transformers", "gguf", "llama", "finance", "text-generation", "en", "dataset:Open-Orca/OpenOrca", "dataset:GAIR/lima", "dataset:WizardLM/WizardLM_evol_instruct_V2_196k", "arxiv:2309.09530", "base_model:AdaptLLM/finance-chat", "base_model:quantized:AdaptLLM/finance-chat", "license:llama2", "region:us" ]

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[ "transformers", "gguf", "llama", "legal", "text-generation", "en", "dataset:EleutherAI/pile", "dataset:Open-Orca/OpenOrca", "dataset:GAIR/lima", "dataset:WizardLM/WizardLM_evol_instruct_V2_196k", "arxiv:2309.09530", "base_model:AdaptLLM/law-chat", "base_model:quantized:AdaptLLM/law-chat", "license:llama2", "region:us" ]

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[ "transformers", "gguf", "llama", "biology", "medical", "text-generation", "en", "dataset:EleutherAI/pile", "dataset:Open-Orca/OpenOrca", "dataset:GAIR/lima", "dataset:WizardLM/WizardLM_evol_instruct_V2_196k", "arxiv:2309.09530", "base_model:AdaptLLM/medicine-chat", "base_model:quantized:AdaptLLM/medicine-chat", "license:llama2", "region:us" ]

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[ "transformers", "gguf", "mistral", "openchat", "C-RLFT", "text-generation", "arxiv:2309.11235", "arxiv:2303.08774", "base_model:openchat/openchat-3.5-0106", "base_model:quantized:openchat/openchat-3.5-0106", "license:apache-2.0", "region:us", "conversational" ]

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[ "gguf", "Yi-34B", "instruct", "finetune", "agriculture", "en", "dataset:gbstox/agronomy-resources", "base_model:NousResearch/Nous-Hermes-2-Yi-34B", "base_model:quantized:NousResearch/Nous-Hermes-2-Yi-34B", "endpoints_compatible", "region:us", "conversational" ]

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[ "transformers", "gguf", "llama", "base_model:Doctor-Shotgun/Nous-Capybara-limarpv3-34B", "base_model:quantized:Doctor-Shotgun/Nous-Capybara-limarpv3-34B", "license:other", "region:us" ]

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[ "gguf", "license:cc-by-nc-4.0", "endpoints_compatible", "region:us" ]

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[ "gguf", "cybersecurity", "cyber security", "hacking", "en", "license:apache-2.0", "endpoints_compatible", "region:us" ]

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[ "transformers", "gguf", "mixtral", "base_model:NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss", "base_model:quantized:NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss", "license:cc-by-nc-4.0", "region:us", "conversational" ]

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[ "transformers", "safetensors", "gguf", "llama", "text-generation", "multilingual", "instruction-tuning", "llama2", "en", "hi", "dataset:ai4bharat/indic-instruct-data-v0.1", "arxiv:2401.15006", "license:llama2", "model-index", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]

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[ "gguf", "license:cc-by-nc-sa-4.0", "endpoints_compatible", "region:us" ]

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[ "gguf", "automation", "home", "assistant", "text-generation", "en", "dataset:yahma/alpaca-cleaned", "license:cc-by-nc-4.0", "endpoints_compatible", "region:us" ]

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[ "transformers", "gguf", "yi", "mergekit", "merge", "Yi", "en", "arxiv:2311.03099", "arxiv:2306.01708", "base_model:brucethemoose/Yi-34B-200K-DARE-megamerge-v8", "base_model:quantized:brucethemoose/Yi-34B-200K-DARE-megamerge-v8", "license:other", "region:us" ]

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[ "transformers", "gguf", "llama", "biology", "medical", "text-generation", "en", "dataset:Open-Orca/OpenOrca", "dataset:GAIR/lima", "dataset:WizardLM/WizardLM_evol_instruct_V2_196k", "dataset:EleutherAI/pile", "arxiv:2309.09530", "base_model:AdaptLLM/medicine-LLM", "base_model:quantized:AdaptLLM/medicine-LLM", "license:other", "region:us" ]

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[ "transformers", "pytorch", "gguf", "orion", "text-generation", "code", "model", "llm", "conversational", "custom_code", "en", "zh", "ja", "ko", "autotrain_compatible", "endpoints_compatible", "region:us" ]

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[ "gguf", "text-generation", "en", "base_model:SanjiWatsuki/Kunoichi-DPO-v2-7B", "base_model:quantized:SanjiWatsuki/Kunoichi-DPO-v2-7B", "license:cc-by-nc-4.0", "region:us" ]

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[ "gguf", "merge", "mergekit", "lazymergekit", "dpo", "rlhf", "base_model:mlabonne/NeuralBeagle14-7B", "base_model:quantized:mlabonne/NeuralBeagle14-7B", "license:cc-by-nc-4.0", "endpoints_compatible", "region:us", "conversational" ]

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[ "transformers", "gguf", "mistral", "merge", "mergekit", "lazymergekit", "fblgit/UNA-TheBeagle-7b-v1", "argilla/distilabeled-Marcoro14-7B-slerp", "dpo", "rlhf", "base_model:mlabonne/NeuralBeagle14-7B", "base_model:quantized:mlabonne/NeuralBeagle14-7B", "license:apache-2.0", "region:us", "conversational" ]

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[ "transformers", "gguf", "mistral", "Mistral", "finetune", "chatml", "DPO", "German", "Deutsch", "synthetic data", "de", "en", "base_model:DiscoResearch/DiscoLM_German_7b_v1", "base_model:quantized:DiscoResearch/DiscoLM_German_7b_v1", "license:apache-2.0", "region:us", "conversational" ]

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[ "gguf", "vistral", "mistral", "pytorch", "uonlp", "Viet-Mistral", "text-generation", "vi", "license:afl-3.0", "endpoints_compatible", "region:us", "conversational" ]

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[ "gguf", "trl", "dpo", "generated_from_trainer", "base_model:jan-hq/LlamaCorn-1.1B-Chat", "base_model:quantized:jan-hq/LlamaCorn-1.1B-Chat", "endpoints_compatible", "region:us", "conversational" ]

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[ "gguf", "endpoints_compatible", "region:us", "conversational" ]

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[ "transformers", "gguf", "llama", "text-generation", "arxiv:2310.11511", "license:mit", "autotrain_compatible", "endpoints_compatible", "region:us" ]

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[ "transformers", "gguf", "llama", "LLM", "Portuguese", "Bode", "Alpaca", "Llama 2", "text-generation", "pt", "en", "arxiv:2401.02909", "license:mit", "region:us", "conversational" ]

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[ "transformers", "gguf", "llama", "roleplay", "text-generation-inference", "en", "base_model:KatyTheCutie/EstopianMaid-13B", "base_model:quantized:KatyTheCutie/EstopianMaid-13B", "license:apache-2.0", "region:us" ]

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[ "transformers", "gguf", "dataset:glaiveai/glaive-function-calling-v2", "dataset:LDJnr/Capybara", "license:apache-2.0", "endpoints_compatible", "region:us" ]

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[ "gguf", "moe", "merge", "mergekit", "lazymergekit", "mlabonne/NeuralBeagle14-7B", "mlabonne/NeuralDaredevil-7B", "text-generation-inference", "Text Generation", "license:apache-2.0", "endpoints_compatible", "region:us", "conversational" ]

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[ "gguf", "chat", "text-generation", "en", "arxiv:2309.16609", "license:other", "endpoints_compatible", "region:us", "conversational" ]

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[ "transformers", "pytorch", "safetensors", "gguf", "mistral", "text-generation", "gpt", "generative", "no", "nb", "nn", "dataset:uonlp/CulturaX", "dataset:NbAiLab/NCC", "dataset:vikp/starcoder_filtered", "arxiv:2204.02311", "arxiv:2005.14165", "arxiv:2302.01398", "license:apache-2.0", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]

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[ "gguf", "legal", "code", "text-generation-inference", "art", "text-generation", "fr", "en", "dataset:cerebras/SlimPajama-627B", "dataset:uonlp/CulturaX", "dataset:pg19", "dataset:bigcode/starcoderdata", "dataset:croissantllm/croissant_dataset", "arxiv:2402.00786", "license:mit", "endpoints_compatible", "region:us" ]

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