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Browse files- CohereForAI/aya-23-35B_2024-11-14T02-30-53Z.json +1 -1
- CohereForAI/aya-23-8B_2024-11-14T02-29-57Z.json +1 -1
- CohereForAI/aya-expanse-32b_2024-11-14T02-32-28Z.json +1 -1
- CohereForAI/aya-expanse-8b_2024-11-14T02-31-48Z.json +1 -1
- Qwen/Qwen2.5-32B-Instruct_2024-11-13T05-34-41Z.json +1 -1
- Qwen/Qwen2.5-72B-Instruct_2024-11-13T05-35-41Z.json +1 -1
- Qwen/Qwen2.5-7B-Instruct_2024-11-13T05-35-30Z.json +1 -1
- Rakuten/RakutenAI-7B-chat_2024-11-13T05-43-44Z.json +1 -1
- SakanaAI/EvoLLM-JP-A-v1-7B_2024-11-14T04-05-04Z.json +1 -1
- cyberagent/Llama-3.1-70B-Japanese-Instruct-2407_2024-11-14T03-52-27Z.json +1 -1
- cyberagent/calm2-7b-chat_2024-11-13T05-45-16Z.json +1 -1
- cyberagent/calm3-22b-chat_2024-11-13T05-41-37Z.json +1 -1
- elyza/Llama-3-ELYZA-JP-8B_2024-11-13T05-42-40Z.json +1 -1
- google/gemma-2-27b-it_2024-11-14T02-33-14Z.json +1 -1
- google/gemma-2-2b-it_2024-11-14T02-32-56Z.json +1 -1
- google/gemma-2-2b-jpn-it_2024-11-14T02-33-27Z.json +1 -1
- google/gemma-2-9b-it_2024-11-14T02-33-06Z.json +1 -1
- llm-jp/llm-jp-3-1.8b-instruct_2024-11-13T05-23-45Z.json +1 -1
- llm-jp/llm-jp-3-13b-instruct_2024-11-13T05-33-27Z.json +1 -1
- llm-jp/llm-jp-3-13b_2024-11-13T05-58-01Z.json +1 -1
- llm-jp/llm-jp-3-3.7b-instruct_2024-11-13T05-33-36Z.json +1 -1
- meta-llama/Llama-3.1-70B-Instruct_2024-11-14T02-34-15Z.json +1 -1
- meta-llama/Llama-3.1-8B-Instruct_2024-11-14T02-29-09Z.json +1 -1
- meta-llama/Llama-3.2-1B-Instruct_2024-11-14T04-33-02Z.json +1 -1
- meta-llama/Llama-3.2-3B-Instruct_2024-11-14T04-32-50Z.json +1 -1
- nvidia/Llama-3.1-Nemotron-70B-Instruct-HF_2024-11-14T03-55-17Z.json +1 -1
- rinna/gemma-2-baku-2b-it_2024-11-13T05-40-02Z.json +1 -1
- rinna/llama-3-youko-70b-instruct_2024-11-14T04-34-58Z.json +1 -1
- rinna/llama-3-youko-8b-instruct_2024-11-14T04-34-50Z.json +1 -1
- tokyotech-llm/Llama-3.1-Swallow-70B-Instruct-v0.1_2024-11-13T05-39-33Z.json +1 -1
- tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.2_2024-11-13T05-38-39Z.json +1 -1
- tokyotech-llm/Llama-3.1-Swallow-8B-v0.2_2024-11-13T05-57-02Z.json +1 -1
- weblab-GENIAC/Tanuki-8B-dpo-v1.0_2024-11-13T05-36-57Z.json +1 -1
CohereForAI/aya-23-35B_2024-11-14T02-30-53Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "CohereForAI/aya-23-35B", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "CohereForAI/aya-23-35B", "precision": "float16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "PENDING", "submitted_time": "2024-11-14T02:30:53Z"}
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CohereForAI/aya-23-8B_2024-11-14T02-29-57Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "CohereForAI/aya-23-8B", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "CohereForAI/aya-23-8B", "precision": "float16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "PENDING", "submitted_time": "2024-11-14T02:29:57Z"}
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CohereForAI/aya-expanse-32b_2024-11-14T02-32-28Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "CohereForAI/aya-expanse-32b", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "CohereForAI/aya-expanse-32b", "precision": "float16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "PENDING", "submitted_time": "2024-11-14T02:32:28Z"}
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CohereForAI/aya-expanse-8b_2024-11-14T02-31-48Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "CohereForAI/aya-expanse-8b", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "CohereForAI/aya-expanse-8b", "precision": "float16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "PENDING", "submitted_time": "2024-11-14T02:31:48Z"}
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Qwen/Qwen2.5-32B-Instruct_2024-11-13T05-34-41Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "Qwen/Qwen2.5-32B-Instruct", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "Qwen/Qwen2.5-32B-Instruct", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "FINISHED", "submitted_time": "2024-11-13T05:34:41Z"}
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Qwen/Qwen2.5-72B-Instruct_2024-11-13T05-35-41Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "Qwen/Qwen2.5-72B-Instruct", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "Qwen/Qwen2.5-72B-Instruct", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "FAILED", "submitted_time": "2024-11-13T05:35:41Z"}
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Qwen/Qwen2.5-7B-Instruct_2024-11-13T05-35-30Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "Qwen/Qwen2.5-7B-Instruct", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "Qwen/Qwen2.5-7B-Instruct", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "FINISHED", "submitted_time": "2024-11-13T05:35:30Z"}
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Rakuten/RakutenAI-7B-chat_2024-11-13T05-43-44Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "Rakuten/RakutenAI-7B-chat", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "Rakuten/RakutenAI-7B-chat", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "FINISHED", "submitted_time": "2024-11-13T05:43:44Z"}
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SakanaAI/EvoLLM-JP-A-v1-7B_2024-11-14T04-05-04Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "SakanaAI/EvoLLM-JP-A-v1-7B", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "SakanaAI/EvoLLM-JP-A-v1-7B", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "PENDING", "submitted_time": "2024-11-14T04:05:04Z"}
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cyberagent/Llama-3.1-70B-Japanese-Instruct-2407_2024-11-14T03-52-27Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "cyberagent/Llama-3.1-70B-Japanese-Instruct-2407", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "cyberagent/Llama-3.1-70B-Japanese-Instruct-2407", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "PENDING", "submitted_time": "2024-11-14T03:52:27Z"}
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cyberagent/calm2-7b-chat_2024-11-13T05-45-16Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "cyberagent/calm2-7b-chat", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "cyberagent/calm2-7b-chat", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "FINISHED", "submitted_time": "2024-11-13T05:45:16Z"}
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cyberagent/calm3-22b-chat_2024-11-13T05-41-37Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "cyberagent/calm3-22b-chat", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "cyberagent/calm3-22b-chat", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "FINISHED", "submitted_time": "2024-11-13T05:41:37Z"}
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elyza/Llama-3-ELYZA-JP-8B_2024-11-13T05-42-40Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "elyza/Llama-3-ELYZA-JP-8B", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "elyza/Llama-3-ELYZA-JP-8B", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "FINISHED", "submitted_time": "2024-11-13T05:42:40Z"}
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google/gemma-2-27b-it_2024-11-14T02-33-14Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "google/gemma-2-27b-it", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "google/gemma-2-27b-it", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "PENDING", "submitted_time": "2024-11-14T02:33:14Z"}
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google/gemma-2-2b-it_2024-11-14T02-32-56Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "google/gemma-2-2b-it", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "google/gemma-2-2b-it", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "PENDING", "submitted_time": "2024-11-14T02:32:56Z"}
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google/gemma-2-2b-jpn-it_2024-11-14T02-33-27Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "google/gemma-2-2b-jpn-it", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "google/gemma-2-2b-jpn-it", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "PENDING", "submitted_time": "2024-11-14T02:33:27Z"}
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google/gemma-2-9b-it_2024-11-14T02-33-06Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "google/gemma-2-9b-it", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "google/gemma-2-9b-it", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "PENDING", "submitted_time": "2024-11-14T02:33:06Z"}
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llm-jp/llm-jp-3-1.8b-instruct_2024-11-13T05-23-45Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "llm-jp/llm-jp-3-1.8b-instruct", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "llm-jp/llm-jp-3-1.8b-instruct", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "FINISHED", "submitted_time": "2024-11-13T05:23:45Z"}
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llm-jp/llm-jp-3-13b-instruct_2024-11-13T05-33-27Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "llm-jp/llm-jp-3-13b-instruct", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "llm-jp/llm-jp-3-13b-instruct", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "FINISHED", "submitted_time": "2024-11-13T05:33:27Z"}
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llm-jp/llm-jp-3-13b_2024-11-13T05-58-01Z.json
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{"model_type": "\ud83d\udfe2 : pretrained", "model": "llm-jp/llm-jp-3-13b", "precision": "
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{"model_type": "\ud83d\udfe2 : pretrained", "model": "llm-jp/llm-jp-3-13b", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "FINISHED", "submitted_time": "2024-11-13T05:58:01Z"}
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llm-jp/llm-jp-3-3.7b-instruct_2024-11-13T05-33-36Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "llm-jp/llm-jp-3-3.7b-instruct", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "llm-jp/llm-jp-3-3.7b-instruct", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "FINISHED", "submitted_time": "2024-11-13T05:33:36Z"}
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meta-llama/Llama-3.1-70B-Instruct_2024-11-14T02-34-15Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "meta-llama/Llama-3.1-70B-Instruct", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "meta-llama/Llama-3.1-70B-Instruct", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "PENDING", "submitted_time": "2024-11-14T02:34:15Z"}
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meta-llama/Llama-3.1-8B-Instruct_2024-11-14T02-29-09Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "meta-llama/Llama-3.1-8B-Instruct", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "meta-llama/Llama-3.1-8B-Instruct", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "RUNNING", "submitted_time": "2024-11-14T02:29:09Z"}
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meta-llama/Llama-3.2-1B-Instruct_2024-11-14T04-33-02Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "meta-llama/Llama-3.2-1B-Instruct", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "meta-llama/Llama-3.2-1B-Instruct", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "PENDING", "submitted_time": "2024-11-14T04:33:02Z"}
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meta-llama/Llama-3.2-3B-Instruct_2024-11-14T04-32-50Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "meta-llama/Llama-3.2-3B-Instruct", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "meta-llama/Llama-3.2-3B-Instruct", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "PENDING", "submitted_time": "2024-11-14T04:32:50Z"}
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nvidia/Llama-3.1-Nemotron-70B-Instruct-HF_2024-11-14T03-55-17Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "nvidia/Llama-3.1-Nemotron-70B-Instruct-HF", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "nvidia/Llama-3.1-Nemotron-70B-Instruct-HF", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "PENDING", "submitted_time": "2024-11-14T03:55:17Z"}
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rinna/gemma-2-baku-2b-it_2024-11-13T05-40-02Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "rinna/gemma-2-baku-2b-it", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "rinna/gemma-2-baku-2b-it", "precision": "float16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "FINISHED", "submitted_time": "2024-11-13T05:40:02Z"}
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rinna/llama-3-youko-70b-instruct_2024-11-14T04-34-58Z.json
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{"model_type": "\u2b55 : instruction-tuned", "model": "rinna/llama-3-youko-70b-instruct", "precision": "
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{"model_type": "\u2b55 : instruction-tuned", "model": "rinna/llama-3-youko-70b-instruct", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "PENDING", "submitted_time": "2024-11-14T04:34:58Z"}
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rinna/llama-3-youko-8b-instruct_2024-11-14T04-34-50Z.json
CHANGED
@@ -1 +1 @@
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-
{"model_type": "\u2b55 : instruction-tuned", "model": "rinna/llama-3-youko-8b-instruct", "precision": "
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1 |
+
{"model_type": "\u2b55 : instruction-tuned", "model": "rinna/llama-3-youko-8b-instruct", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "PENDING", "submitted_time": "2024-11-14T04:34:50Z"}
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tokyotech-llm/Llama-3.1-Swallow-70B-Instruct-v0.1_2024-11-13T05-39-33Z.json
CHANGED
@@ -1 +1 @@
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-
{"model_type": "\u2b55 : instruction-tuned", "model": "tokyotech-llm/Llama-3.1-Swallow-70B-Instruct-v0.1", "precision": "
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1 |
+
{"model_type": "\u2b55 : instruction-tuned", "model": "tokyotech-llm/Llama-3.1-Swallow-70B-Instruct-v0.1", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "FINISHED", "submitted_time": "2024-11-13T05:39:33Z"}
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tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.2_2024-11-13T05-38-39Z.json
CHANGED
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{"model_type": "\u2b55 : instruction-tuned", "model": "tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.2", "precision": "
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1 |
+
{"model_type": "\u2b55 : instruction-tuned", "model": "tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.2", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "FINISHED", "submitted_time": "2024-11-13T05:38:39Z"}
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tokyotech-llm/Llama-3.1-Swallow-8B-v0.2_2024-11-13T05-57-02Z.json
CHANGED
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-
{"model_type": "\ud83d\udfe2 : pretrained", "model": "tokyotech-llm/Llama-3.1-Swallow-8B-v0.2", "precision": "
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1 |
+
{"model_type": "\ud83d\udfe2 : pretrained", "model": "tokyotech-llm/Llama-3.1-Swallow-8B-v0.2", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "FINISHED", "submitted_time": "2024-11-13T05:57:02Z"}
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weblab-GENIAC/Tanuki-8B-dpo-v1.0_2024-11-13T05-36-57Z.json
CHANGED
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-
{"model_type": "\u2b55 : instruction-tuned", "model": "weblab-GENIAC/Tanuki-8B-dpo-v1.0", "precision": "
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1 |
+
{"model_type": "\u2b55 : instruction-tuned", "model": "weblab-GENIAC/Tanuki-8B-dpo-v1.0", "precision": "bfloat16", "revision": "main", "add_special_tokens": "False", "llm_jp_eval_version": "v1.4.1", "vllm_version": "v0.6.3.post1", "status": "FINISHED", "submitted_time": "2024-11-13T05:36:57Z"}
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