Llama 3.3 - Instruct Chat

JSON Example

API Call (Text)

			{
				"text":"A dialog, where User interacts with a helpful, kind, obedient, honest and very reasonable assistant called Steve.\nUser: Hello, Steve.\nSteve: How can I assist you today?\nUser: What is your favourite movie?\nSteve:",
				"top_k":40,
				"top_p":0.9,
				"temperature":0.8,
				"client_session_auth_key":"e1b12673-3beb-42eb-bd2c-1747a11dd084",
				"wait_for_result":false
			}
							

Progress

			{
				"success":true,
				"job_id":"JID43",
				"ep_version":0,
				"job_state":"processing",
				"progress":{
					"job_id":"JID43",
					"start_time":1708257097.326644,
					"start_time_compute":1708257097.3285873,
					"progress":3,
					"progress_data":{
						"text":"Oh, ",
						"num_generated_tokens":3
					},
					"estimate":1.2,
					"queue_position":0,
					"num_workers_online":1
				}
			}
							

Result

			{
				"success":true,
				"job_id":"JID43",
				"ep_version":0,
				"job_result":{
					"success":true,
					"job_id":"JID43",
					"ep_version":0,
					"text":"Oh, that's a tough one! I have so many favourite movies, but if I had to choose just one, I would say \"Toy Story\". It's such a classic and it always makes me laugh.\n",
					"num_generated_tokens":52,
					"model_name":"llama-3-70b-instruct",
					"compute_duration":1.8,
					"total_duration":1.8,
					"auth":"neo06_NVIDIA A100-PCIE-40GB_0",
					"worker_interface_version":"AIME-API-Worker-Interface 0.9.0"
				},
				"job_state":"done",
				"progress":{
					"job_id":"JID43",
					"start_time":1708257097.326644,
					"start_time_compute":1708257097.3285873,
					"progress":45,
					"progress_data":{
						"text":"Oh, that's a tough one! I have so many favourite movies, but if I had to choose just one, I would say \"Toy Story\". It's such a classic and it ",
						"num_generated_tokens":45
					},
					"estimate":0,
					"queue_position":0,
					"num_workers_online":1
				}
			}