mradermacher/Qwen2.5-QwQ-RP-Draft-v0.1-0.5B-GGUF
0.5B • Updated • 97
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value | turn_prompt_hash stringlengths 131 133 | model_name stringclasses 1
value | generation_settings dict | conversations listlengths 3 165 |
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anthracite-org/c2_logs_32k_llama3_qwen2_v1.3 | 9c2e13d358a323791a79de8527ac3539bab8aa13611a3b7e791c0a29a1d9f09a-2-c7091521d9341e70ef2ea9b70eff98540464e96a60f1f5ef26be962c8785bf24 | Qwen/QwQ-32B | {
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anthracite-org/c2_logs_32k_llama3_qwen2_v1.3 | 9c2e13d358a323791a79de8527ac3539bab8aa13611a3b7e791c0a29a1d9f09a-4-88af4db2f494bbbe4f23c0e4aa8e83bede54bf089aa9473c155689d09b489704 | Qwen/QwQ-32B | {
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anthracite-org/c2_logs_32k_llama3_qwen2_v1.3 | 9c2e13d358a323791a79de8527ac3539bab8aa13611a3b7e791c0a29a1d9f09a-6-821a2ba4d1c08bac445a5e4bfcf270afcf0c6a091d862a80415c63e98bfa1b97 | Qwen/QwQ-32B | {
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anthracite-org/c2_logs_32k_llama3_qwen2_v1.3 | 9c2e13d358a323791a79de8527ac3539bab8aa13611a3b7e791c0a29a1d9f09a-8-70306e0836baa1821ba500d58cc5938e5ecc569e2cba1aceecaeec1bd1d400ca | Qwen/QwQ-32B | {
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anthracite-org/c2_logs_32k_llama3_qwen2_v1.3 | 9c2e13d358a323791a79de8527ac3539bab8aa13611a3b7e791c0a29a1d9f09a-10-c0f3309ea526be324879d4649d78b7f461cb29e0ff835e08e840e63c9802a08f | Qwen/QwQ-32B | {
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anthracite-org/c2_logs_32k_llama3_qwen2_v1.3 | 9c2e13d358a323791a79de8527ac3539bab8aa13611a3b7e791c0a29a1d9f09a-12-a62a1a0105431bb3f1a209f9147d3f72852535b446ac0b19c3b810f3560a2719 | Qwen/QwQ-32B | {
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anthracite-org/c2_logs_32k_llama3_qwen2_v1.3 | 9c2e13d358a323791a79de8527ac3539bab8aa13611a3b7e791c0a29a1d9f09a-14-08699ecaee48f789826f1449f7a3303cedcf33df0574dd02d7bb9a73482b97e7 | Qwen/QwQ-32B | {
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anthracite-org/c2_logs_32k_llama3_qwen2_v1.3 | 9c2e13d358a323791a79de8527ac3539bab8aa13611a3b7e791c0a29a1d9f09a-16-bec773ac8a7331531cc34b79cda7be0c9d29b63175fbc0761b162ef40e8c6b5e | Qwen/QwQ-32B | {
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anthracite-org/c2_logs_32k_llama3_qwen2_v1.3 | bb6ef883083ef5d46b7e04862bf655f9f4b8f49d980b06a65cf9dbf1fbcf0248-2-4fa2af4fba7b56e87ade8e7b9ddb75105a19462e419513d1a28774dffb2130fb | Qwen/QwQ-32B | {
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anthracite-org/c2_logs_32k_llama3_qwen2_v1.3 | bb6ef883083ef5d46b7e04862bf655f9f4b8f49d980b06a65cf9dbf1fbcf0248-4-c2e2e4f9f1dfb8a0a57a7e0693a9cd0021bdd054f3007d88d973044095973eb6 | Qwen/QwQ-32B | {
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anthracite-org/c2_logs_32k_llama3_qwen2_v1.3 | bb6ef883083ef5d46b7e04862bf655f9f4b8f49d980b06a65cf9dbf1fbcf0248-6-e675a3263a1c861b2a03f0c5e8b34028ae12fd3fe35c7c0993d8f8f6292f6de0 | Qwen/QwQ-32B | {
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anthracite-org/c2_logs_32k_llama3_qwen2_v1.3 | bb6ef883083ef5d46b7e04862bf655f9f4b8f49d980b06a65cf9dbf1fbcf0248-8-0215d73a127f8ab5d48d1d3c2666ad8e83dcacffc54c7e8d7445461b888c5d8a | Qwen/QwQ-32B | {
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anthracite-org/c2_logs_32k_llama3_qwen2_v1.3 | bb6ef883083ef5d46b7e04862bf655f9f4b8f49d980b06a65cf9dbf1fbcf0248-10-227fbe0af52c87da941950fb042e374384950e48d6b7615388494db411b63c2b | Qwen/QwQ-32B | {
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anthracite-org/c2_logs_32k_llama3_qwen2_v1.3 | bb6ef883083ef5d46b7e04862bf655f9f4b8f49d980b06a65cf9dbf1fbcf0248-12-d3da02c995d0bb5605a8e66de5868af882ced3c3f79b3a905af63499f90196fc | Qwen/QwQ-32B | {
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anthracite-org/c2_logs_32k_llama3_qwen2_v1.3 | bb6ef883083ef5d46b7e04862bf655f9f4b8f49d980b06a65cf9dbf1fbcf0248-14-112d836f03340c85ce0635d241154966e4bd0481344167783931c5b8befde37a | Qwen/QwQ-32B | {
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anthracite-org/c2_logs_32k_llama3_qwen2_v1.3 | bb6ef883083ef5d46b7e04862bf655f9f4b8f49d980b06a65cf9dbf1fbcf0248-16-885f8cdc714bcbe3e5fb62e1ef71138f1709cbaa36e86daa0c16ea3f0155a8d0 | Qwen/QwQ-32B | {
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You should mask everything except the last turn. The only part that matters to teach the model is the last turn, as you are teaching it to always output thinking, no matter what the user feeds it.
It's setup to be trained like R1: