Add models to eval queue

.gitignore

@@ -1 +0,0 @@
-scripts/

AIDC-AI/Marco-LLM-ES_eval_request_False_bfloat16_Original.json

@@ -1 +1 @@
-{"model": "AIDC-AI/Marco-LLM-ES", "base_model": "", "revision": "2e36ce00a312b5187ddb06df8db29a59acf60245", "precision": "bfloat16", "architecture": "Qwen2ForCausalLM", "weight_type": "Original", "status": "RUNNING", "submitted_time": "2025-01-14T12:41:07Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 0, "params": -1, "license": "apache-2.0", "private": false, "sender": "ChenyangLyu"}
+{"model": "AIDC-AI/Marco-LLM-ES", "base_model": "", "revision": "2e36ce00a312b5187ddb06df8db29a59acf60245", "precision": "bfloat16", "architecture": "Qwen2ForCausalLM", "weight_type": "Original", "status": "PENDING", "submitted_time": "2025-06-21T13:46:00Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 0, "params": -1, "license": "apache-2.0", "private": false, "sender": "ChenyangLyu"}

HuggingFaceTB/SmolLM2-1.7B-Instruct_eval_request_False_bfloat16_Original.json

@@ -0,0 +1 @@
+{"model": "HuggingFaceTB/SmolLM2-1.7B-Instruct", "base_model": "", "revision": "main", "private": false, "precision": "bfloat16", "weight_type": "Original", "status": "PENDING", "submitted_time": "2025-07-21T20:10:27Z", "model_type": "instruction-tuned", "likes": 0, "params": 1.71, "license": "custom", "architecture": "", "sender": "mariagrandury"}

HuggingFaceTB/SmolLM2-1.7B_eval_request_False_bfloat16_Original.json

@@ -0,0 +1 @@
+{"model": "HuggingFaceTB/SmolLM2-1.7B", "base_model": "", "revision": "main", "private": false, "precision": "bfloat16", "weight_type": "Original", "status": "PENDING", "submitted_time": "2025-06-21T13:46:00Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 0, "params": 1.71, "license": "custom", "architecture": "", "sender": "mariagrandury"}

Iker/Llama-3-Instruct-Neurona-8b-v2_eval_request_False_bfloat16_Original.json

@@ -1 +1 @@
-{"model": "Iker/Llama-3-Instruct-Neurona-8b-v2", "base_model": "", "revision": "92b369f60dae263d14f496e7215ee89c80473660", "precision": "bfloat16", "architecture": "LlamaForCausalLM", "weight_type": "Original", "status": "RUNNING", "submitted_time": "2024-09-26T08:53:03Z", "model_type": "\u2b55 : instruction-tuned", "likes": 2, "params": 8.03, "license": "llama3", "private": false, "sender": "Iker"}
+{"model": "Iker/Llama-3-Instruct-Neurona-8b-v2", "base_model": "", "revision": "92b369f60dae263d14f496e7215ee89c80473660", "precision": "bfloat16", "architecture": "LlamaForCausalLM", "weight_type": "Original", "status": "PENDING", "submitted_time": "2024-09-26T08:53:03Z", "model_type": "\u2b55 : instruction-tuned", "likes": 2, "params": 8.03, "license": "llama3", "private": false, "sender": "Iker"}

Qwen/Qwen2.5-14B-Instruct-GPTQ-Int8_eval_request_False_float16_Original.json

@@ -0,0 +1 @@
+{"model": "Qwen/Qwen2.5-14B-Instruct-GPTQ-Int8", "base_model": "", "revision": "main", "private": false, "precision": "float16", "weight_type": "Original", "status": "PENDING", "submitted_time": "2025-07-21T20:10:27Z", "model_type": "instruction-tuned", "likes": 0, "params": 4.99, "license": "custom", "architecture": "", "sender": "mariagrandury"}

Qwen/Qwen2.5-32B-Instruct-GPTQ-Int4_eval_request_False_float16_Original.json

@@ -0,0 +1 @@
+{"model": "Qwen/Qwen2.5-32B-Instruct-GPTQ-Int4", "base_model": "", "revision": "main", "private": false, "precision": "float16", "weight_type": "Original", "status": "PENDING", "submitted_time": "2025-06-21T18:13:32Z", "model_type": "instruction-tuned", "likes": 0, "params": 5.74, "license": "custom", "architecture": "", "sender": "mariagrandury"}

Qwen/Qwen2.5-3B-Instruct_eval_request_False_bfloat16_Original.json

@@ -0,0 +1 @@
+{"model": "Qwen/Qwen2.5-3B-Instruct", "base_model": "", "revision": "main", "private": false, "precision": "bfloat16", "weight_type": "Original", "status": "PENDING", "submitted_time": "2025-06-21T13:46:00Z", "model_type": "instruction-tuned", "likes": 0, "params": 3.09, "license": "custom", "architecture": "", "sender": "mariagrandury"}

Qwen/Qwen2.5-3B_eval_request_False_bfloat16_Original.json

@@ -0,0 +1 @@
+{"model": "Qwen/Qwen2.5-3B", "base_model": "", "revision": "main", "private": false, "precision": "bfloat16", "weight_type": "Original", "status": "PENDING", "submitted_time": "2025-06-21T13:46:00Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 0, "params": 3.09, "license": "custom", "architecture": "", "sender": "mariagrandury"}

Qwen/Qwen3-1.7B_eval_request_False_bfloat16_Original.json

@@ -0,0 +1 @@
+{"model": "Qwen/Qwen3-1.7B", "base_model": "", "revision": "main", "private": false, "precision": "bfloat16", "weight_type": "Original", "status": "PENDING", "submitted_time": "2025-07-21T20:10:27Z", "model_type": "instruction-tuned", "likes": 0, "params": 2.03, "license": "custom", "architecture": "", "sender": "mariagrandury"}

Qwen/Qwen3-14B-AWQ_eval_request_False_float16_Original.json

@@ -0,0 +1 @@
+{"model": "Qwen/Qwen3-14B-AWQ", "base_model": "", "revision": "main", "private": false, "precision": "float16", "weight_type": "Original", "status": "PENDING", "submitted_time": "2025-07-21T20:10:27Z", "model_type": "instruction-tuned", "likes": 0, "params": 3.32, "license": "custom", "architecture": "", "sender": "mariagrandury"}

TheBloke/Llama-2-13B-chat-GPTQ_eval_request_False_float16_Original.json

@@ -0,0 +1 @@
+{"model": "TheBloke/Llama-2-13B-chat-GPTQ", "base_model": "", "revision": "main", "private": false, "precision": "float16", "weight_type": "Original", "status": "PENDING", "submitted_time": "2025-06-21T18:13:32Z", "model_type": "instruction-tuned", "likes": 0, "params": 2.03, "license": "custom", "architecture": "", "sender": "mariagrandury"}

google/gemma-3-1b-it_eval_request_False_bfloat16_Original.json

@@ -0,0 +1 @@
+{"model": "google/gemma-3-1b-it", "base_model": "", "revision": "main", "private": false, "precision": "bfloat16", "weight_type": "Original", "status": "PENDING", "submitted_time": "2025-07-21T20:10:27Z", "model_type": "instruction-tuned", "likes": 0, "params": 1.0, "license": "custom", "architecture": "", "sender": "mariagrandury"}

ibm-granite/granite-3.0-8b-base_eval_request_False_float32_Original.json

@@ -1 +1 @@
-{"model": "ibm-granite/granite-3.0-8b-base", "base_model": "", "revision": "23357b69523bd98523496a5aba1f48bdea04a137", "precision": "float32", "architecture": "GraniteForCausalLM", "weight_type": "Original", "status": "RUNNING", "submitted_time": "2024-12-03T11:36:41Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 21, "params": 8.171, "license": "apache-2.0", "private": false, "sender": "asier-gutierrez"}
+{"model": "ibm-granite/granite-3.0-8b-base", "base_model": "", "revision": "23357b69523bd98523496a5aba1f48bdea04a137", "precision": "float32", "architecture": "GraniteForCausalLM", "weight_type": "Original", "status": "PENDING", "submitted_time": "2024-12-03T11:36:41Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 21, "params": 8.171, "license": "apache-2.0", "private": false, "sender": "asier-gutierrez"}

ibm-granite/granite-3.0-8b-instruct_eval_request_False_float32_Original.json

@@ -1 +1 @@
-{"model": "ibm-granite/granite-3.0-8b-instruct", "base_model": "", "revision": "8fe1e202a17f7763bd0af471253e00cc846d1c05", "precision": "float32", "architecture": "GraniteForCausalLM", "weight_type": "Original", "status": "RUNNING", "submitted_time": "2024-12-03T11:36:17Z", "model_type": "\u2b55 : instruction-tuned", "likes": 180, "params": 8.171, "license": "apache-2.0", "private": false, "sender": "asier-gutierrez"}
+{"model": "ibm-granite/granite-3.0-8b-instruct", "base_model": "", "revision": "8fe1e202a17f7763bd0af471253e00cc846d1c05", "precision": "float32", "architecture": "GraniteForCausalLM", "weight_type": "Original", "status": "PENDING", "submitted_time": "2024-12-03T11:36:17Z", "model_type": "\u2b55 : instruction-tuned", "likes": 180, "params": 8.171, "license": "apache-2.0", "private": false, "sender": "asier-gutierrez"}

meta-llama/Llama-3.2-3B-Instruct_eval_request_False_bfloat16_Original.json

@@ -0,0 +1 @@
+{"model": "meta-llama/Llama-3.2-3B-Instruct", "base_model": "", "revision": "main", "private": false, "precision": "bfloat16", "weight_type": "Original", "status": "PENDING", "submitted_time": "2025-06-21T13:46:00Z", "model_type": "instruction-tuned", "likes": 0, "params": 3.21, "license": "custom", "architecture": "", "sender": "mariagrandury"}

meta-llama/Llama-3.2-3B_eval_request_False_bfloat16_Original.json

@@ -0,0 +1 @@
+{"model": "meta-llama/Llama-3.2-3B", "base_model": "", "revision": "main", "private": false, "precision": "bfloat16", "weight_type": "Original", "status": "PENDING", "submitted_time": "2025-06-21T13:46:00Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 0, "params": 3.21, "license": "custom", "architecture": "", "sender": "mariagrandury"}

microsoft/Phi-3.5-mini-instruct_eval_request_False_float32_Original.json

@@ -1 +1 @@
-{"model": "microsoft/Phi-3.5-mini-instruct", "base_model": "", "revision": "af0dfb8029e8a74545d0736d30cb6b58d2f0f3f0", "precision": "float32", "architecture": "Phi3ForCausalLM", "weight_type": "Original", "status": "RUNNING", "submitted_time": "2024-12-03T11:35:21Z", "model_type": "\u2b55 : instruction-tuned", "likes": 664, "params": 3.821, "license": "mit", "private": false, "sender": "asier-gutierrez"}
+{"model": "microsoft/Phi-3.5-mini-instruct", "base_model": "", "revision": "af0dfb8029e8a74545d0736d30cb6b58d2f0f3f0", "precision": "float32", "architecture": "Phi3ForCausalLM", "weight_type": "Original", "status": "PENDING", "submitted_time": "2024-12-03T11:35:21Z", "model_type": "\u2b55 : instruction-tuned", "likes": 664, "params": 3.821, "license": "mit", "private": false, "sender": "asier-gutierrez"}

openGPT-X/Teuken-7B-instruct-commercial-v0.4_eval_request_False_bfloat16_Original.json

@@ -0,0 +1 @@
+{"model": "openGPT-X/Teuken-7B-instruct-commercial-v0.4", "base_model": "", "revision": "main", "private": false, "precision": "bfloat16", "weight_type": "Original", "status": "PENDING", "submitted_time": "2025-06-21T13:46:00Z", "model_type": "instruction-tuned", "likes": 0, "params": 7.45, "license": "custom", "architecture": "", "sender": "mariagrandury"}

openGPT-X/Teuken-7B-instruct-research-v0.4_eval_request_False_bfloat16_Original.json

@@ -0,0 +1 @@
+{"model": "openGPT-X/Teuken-7B-instruct-research-v0.4", "base_model": "", "revision": "main", "private": false, "precision": "bfloat16", "weight_type": "Original", "status": "PENDING", "submitted_time": "2025-06-21T13:46:00Z", "model_type": "instruction-tuned", "likes": 0, "params": 7.45, "license": "custom", "architecture": "", "sender": "mariagrandury"}

orai-nlp/Llama-eus-8B_eval_request_False_bfloat16_Original.json

@@ -1 +1 @@
-{"model": "orai-nlp/Llama-eus-8B", "base_model": "", "revision": "75b5645d222047b517a7a9190922ea1b5382c71f", "precision": "bfloat16", "architecture": "LlamaForCausalLM", "weight_type": "Original", "status": "RUNNING", "submitted_time": "2024-10-01T08:20:05Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 3, "params": 8.03, "license": null, "private": false, "sender": "andercorral"}
+{"model": "orai-nlp/Llama-eus-8B", "base_model": "", "revision": "75b5645d222047b517a7a9190922ea1b5382c71f", "precision": "bfloat16", "architecture": "LlamaForCausalLM", "weight_type": "Original", "status": "PENDING", "submitted_time": "2024-10-01T08:20:05Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 3, "params": 8.03, "license": null, "private": false, "sender": "andercorral"}

sandbox-ai/Llama-3.1-Tango-8b-f16_eval_request_False_float16_Original.json

@@ -1 +1 @@
-{"model": "sandbox-ai/Llama-3.1-Tango-8b-f16", "base_model": "", "revision": "6be7482100037da375ba586234c59c5ccaad7ec1", "precision": "float16", "architecture": "LlamaForCausalLM", "weight_type": "Original", "status": "RUNNING", "submitted_time": "2024-12-08T04:05:41Z", "model_type": "\ud83d\udd36 : fine-tuned", "likes": 0, "params": 8.03, "license": "llama3.1", "private": false, "sender": "tatakof"}
+{"model": "sandbox-ai/Llama-3.1-Tango-8b-f16", "base_model": "", "revision": "6be7482100037da375ba586234c59c5ccaad7ec1", "precision": "float16", "architecture": "LlamaForCausalLM", "weight_type": "Original", "status": "PENDING", "submitted_time": "2024-12-08T04:05:41Z", "model_type": "\ud83d\udd36 : fine-tuned", "likes": 0, "params": 8.03, "license": "llama3.1", "private": false, "sender": "tatakof"}

scripts/generate.py

@@ -5,7 +5,10 @@ from datetime import datetime
 import pandas as pd
 
 
-def generate_request(model_id, precision, model_type, params, index):
+def generate_request(model_id, precision, model_type, params):
+    model_type = (
+        f"\ud83d\udfe2 : {model_type}" if model_type == "pretrained" else model_type
+    )
     data = {
         "model": model_id,
         "base_model": "",
@@ -13,11 +16,9 @@ def generate_request(model_id, precision, model_type, params, index):
         "private": False,
         "precision": precision,
         "weight_type": "Original",
-        "status": "FINISHED",
-        "submitted_time": (datetime.now() + pd.Timedelta(hours=index)).strftime(
-            "%Y-%m-%dT%H:%M:%SZ"
-        ),
-        "model_type": f"\ud83d\udfe2 : {model_type} if model_type == 'pretrained' else model_type",
+        "status": "PENDING",
+        "submitted_time": (datetime.now()).strftime("%Y-%m-%dT%H:%M:%SZ"),
+        "model_type": model_type,
         "likes": 0,
         "params": params,
         "license": "custom",
@@ -32,24 +33,22 @@ def generate_request(model_id, precision, model_type, params, index):
 
 def generate_requests(selection: str):
     df = pd.read_csv("scripts/models.csv")
-    df = df[["model_id", "precision", "model_type", "params", "iberobench"]]
+    df = df[["status", "model_id", "precision", "model_type", "params"]]
 
     if selection == "pretrained":
         df = df[df["model_type"] == "pretrained"]
-    elif selection == "pretrained_new":
-        df = df[df["model_type"] == "pretrained"]
-        df = df[df["iberobench"] == False]
-    elif selection == "instruction":
+    elif selection == "instructed":
         df = df[df["model_type"] == "instruction-tuned"]
+    elif selection == "todo":
+        df = df[df["status"] == "Not started"]
 
-    for index, row in df.iterrows():
-        model_id, precision, model_type, params, iberobench = row
+    for _, row in df.iterrows():
+        status, model_id, precision, model_type, params = row
         generate_request(
             model_id=model_id,
             precision=precision,
             model_type=model_type,
             params=params,
-            index=index,
         )
 
 
@@ -58,15 +57,15 @@ if __name__ == "__main__":
 
     parser = argparse.ArgumentParser(description="Generate model requests.")
     parser.add_argument("--pretrained", action="store_true")
-    parser.add_argument("--pretrained_new", action="store_true")
-    parser.add_argument("--instruction", action="store_true")
+    parser.add_argument("--instructed", action="store_true")
+    parser.add_argument("--todo", action="store_true")
     args = parser.parse_args()
 
     if args.pretrained:
         generate_requests("pretrained")
-    elif args.pretrained_new:
-        generate_requests("pretrained_new")
-    elif args.instruction:
-        generate_requests("instruction")
+    elif args.instructed:
+        generate_requests("instructed")
+    elif args.todo:
+        generate_requests("todo")
     else:
-        generate_requests()
+        print("Please select a valid option between: pretrained, instructed, todo, all")

scripts/models.csv

@@ -1,29 +1,120 @@
-status,model_id,model_url,iberobench,model_type,params,precision,gated,remote,avg,logs,error
-Not started,meta-llama/Meta-Llama-3.1-8B-Instruct,https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct,No,instruction-tuned,8.03,bfloat16,True,,,,
-Not started,mistralai/Mistral-7B-Instruct-v0.3,https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3,No,instruction-tuned,7.25,bfloat16,True,,,,
-Not started,google/gemma-2-2b-it,https://huggingface.co/google/gemma-2-2b-it,No,instruction-tuned,2.61,bfloat16,True,,,,"Model ""google/gemma-2-2b-it"" was not found on hub! 'gemma2’"
-Not started,google/gemma-2-9b-it,https://huggingface.co/google/gemma-2-9b-it,No,instruction-tuned,9.24,bfloat16,True,,,,
-In progress,google/gemma-2-2b,https://huggingface.co/google/gemma-2-2b,Yes,pretrained,2.61,float32,True,,,,
-In progress,google/gemma-2-9b,https://huggingface.co/google/gemma-2-9b,Yes,pretrained,9.24,float32,True,,,,
-Not started,microsoft/Phi-3.5-mini-instruct,https://huggingface.co/microsoft/Phi-3.5-mini-instruct,No,instruction-tuned,3.82,bfloat16,False,True,,,"Model ""microsoft/Phi-3.5-mini-instruct"" needs to be launched with `trust_remote_code=True`. For safety reason, we do not allow these models to be automatically submitted to the leaderboard."
-Not started,microsoft/Phi-3-small-128k-instruct,https://huggingface.co/microsoft/Phi-3-small-128k-instruct,No,instruction-tuned,7.39,bfloat16,False,True,,,
-Not started,tiiuae/falcon-7b-instruct,https://huggingface.co/tiiuae/falcon-7b-instruct,No,instruction-tuned,7,bfloat16,False,False,,,
-Not started,01-ai/Yi-1.5-9B-Chat,https://huggingface.co/01-ai/Yi-1.5-9B-Chat,No,instruction-tuned,8.83,bfloat16,False,False,,,
-Not started,internlm/internlm2_5-7b-chat,https://huggingface.co/internlm/internlm2_5-7b-chat,No,instruction-tuned,7.74,bfloat16,False,True,,,
-In progress,HiTZ/latxa-7b-v1.2,https://huggingface.co/HiTZ/latxa-7b-v1.2,Yes,pretrained,7,bfloat16,False,,,,
-In progress,proxectonos/Carballo-bloom-1.3B,https://huggingface.co/proxectonos/Carballo-bloom-1.3B,Yes,pretrained,1.31,float16,False,,,,"Model ""proxectonos/Carballo-bloom-1.3B"" 's tokenizer cannot be loaded. Is your tokenizer class in a stable transformers release, and correctly configured? unhashable type: 'dict'"
-Not started,projecte-aina/aguila-7b,https://huggingface.co/projecte-aina/aguila-7b,No,pretrained,6.85,float16,False,True,,,
-In progress,projecte-aina/FLOR-6.3B,https://huggingface.co/projecte-aina/FLOR-6.3B,Yes,pretrained,6.25,float16,True,,,,
-Not started,projecte-aina/FLOR-6.3B-Instructed,https://huggingface.co/projecte-aina/FLOR-6.3B-Instructed,No,instruction-tuned,6.25,float16,True,,,,
-Not started,gplsi/Aitana-6.3B,https://huggingface.co/gplsi/Aitana-6.3B,No,pretrained,6.25,bfloat16,False,,,,Eval error: 'ScalarNode' object is not callable
-In progress,occiglot/occiglot-7b-es-en,https://huggingface.co/occiglot/occiglot-7b-es-en,Yes,pretrained,7.24,float32,False,,,,
-Not started,occiglot/occiglot-7b-es-en-instruct,https://huggingface.co/occiglot/occiglot-7b-es-en-instruct,No,instruction-tuned,7.24,float32,False,,,,
-Not started,LenguajeNaturalAI/leniachat-gemma-2b-v0,https://huggingface.co/LenguajeNaturalAI/leniachat-gemma-2b-v0,No,instruction-tuned,2.51,bfloat16,False,,,,"Model ""LenguajeNaturalAI/leniachat-gemma-2b-v0"" was not found on hub! 'gemma'"
-Not started,LenguajeNaturalAI/leniachat-qwen2-1.5B-v0,https://huggingface.co/LenguajeNaturalAI/leniachat-qwen2-1.5B-v0,No,instruction-tuned,1.54,bfloat16,False,,,,"Model ""LenguajeNaturalAI/leniachat-qwen2-1.5B-v0"" was not found on hub! 'qwen2'"
-Not started,bertin-project/Gromenauer-7B-Instruct,https://huggingface.co/bertin-project/Gromenauer-7B-Instruct,No,instruction-tuned,7.24,float32,False,,,,
-Not started,bertin-project/bertin-gpt-j-6B,https://huggingface.co/bertin-project/bertin-gpt-j-6B,No,pretrained,6,float32,False,,,,
-In progress,meta-llama/Meta-Llama-3.1-8B,https://huggingface.co/meta-llama/Meta-Llama-3.1-8B,Yes,pretrained,8.03,bfloat16,True,,,,
-In progress,mistralai/Mistral-7B-v0.3,https://huggingface.co/mistralai/Mistral-7B-v0.3,Yes,pretrained,7.25,bfloat16,True,,,,
-Not started,01-ai/Yi-1.5-9B,https://huggingface.co/01-ai/Yi-1.5-9B,No,pretrained,8.83,bfloat16,False,,,,
-Not started,microsoft/phi-1_5,https://huggingface.co/microsoft/phi-1_5,No,pretrained,1.42,float16,False,,,,
-Not started,tiiuae/falcon-7b,https://huggingface.co/tiiuae/falcon-7b,No,pretrained,7,bfloat16,False,,,,
+status,model_id,precision,model_type,date_download,params
+Done,BSC-LT/salamandra-2b,bfloat16,pretrained,"December 2, 2024",2.25
+Done,BSC-LT/salamandra-2b-instruct,bfloat16,instruction-tuned,"January 27, 2025",2.25
+Done,BSC-LT/salamandra-7b,bfloat16,pretrained,"December 2, 2024",7.77
+Done,BSC-LT/salamandra-7b-instruct,bfloat16,instruction-tuned,"January 27, 2025",7.77
+Done,meta-llama/Llama-3.2-1B,bfloat16,pretrained,,1.24
+Done,meta-llama/Llama-3.2-1B-Instruct,bfloat16,instruction-tuned,,1.24
+Done,meta-llama/Meta-Llama-3.1-8B,bfloat16,pretrained,"September 13, 2024",8.03
+Done,meta-llama/Meta-Llama-3.1-8B-Instruct,bfloat16,instruction-tuned,"September 13, 2024",8.03
+Done,bertin-project/Gromenauer-7B,float32,pretrained,"December 11, 2024",7.24
+Done,bertin-project/Gromenauer-7B-Instruct,float32,instruction-tuned,"December 11, 2024",7.24
+Done,HiTZ/latxa-7b-v1.2,bfloat16,pretrained,"July 25, 2024",7
+Done,mistralai/Mistral-7B-Instruct-v0.3,bfloat16,instruction-tuned,"August 26, 2024",7.25
+Done,mistralai/Mistral-7B-v0.3,bfloat16,pretrained,"June 27, 2024",7.25
+Done,occiglot/occiglot-7b-es-en,float32,pretrained,"June 5, 2024",7.24
+Done,occiglot/occiglot-7b-es-en-instruct,float32,instruction-tuned,"November 29, 2024",7.24
+Done,projecte-aina/FLOR-6.3B,float16,pretrained,"June 3, 2024",6.25
+Done,projecte-aina/FLOR-6.3B-Instructed,float16,instruction-tuned,"October 28, 2024",6.25
+Done,gplsi/Aitana-6.3B,bfloat16,pretrained,"June 5, 2024",6.25
+Not started,Nos-PT/Llama-Carvalho-GL,float16,pretrained,,8.03
+Not started,Nos-PT/Llama-Carvalho-PT-GL,float16,pretrained,,8.03
+Done,proxectonos/Carballo-bloom-1.3B,float16,pretrained,"December 11, 2024",1.31
+Not started,proxectonos/Llama-3.1-Carballo,float16,pretrained,,8.03
+Done,IIC/RigoChat-7b-v2,bfloat16,instruction-tuned,"February 5, 2025",7.62
+Done,LenguajeNaturalAI/leniachat-gemma-2b-v0,bfloat16,instruction-tuned,"December 11, 2024",2.51
+Done,LenguajeNaturalAI/leniachat-qwen2-1.5B-v0,bfloat16,instruction-tuned,"December 11, 2024",1.54
+Done,utter-project/EuroLLM-1.7B,bfloat16,pretrained,,1.7
+Done,utter-project/EuroLLM-1.7B-Instruct,bfloat16,instruction-tuned,"September 23, 2024",1.7
+Done,utter-project/EuroLLM-9B,bfloat16,pretrained,"February 10, 2025",9.15
+Done,utter-project/EuroLLM-9B-Instruct,bfloat16,instruction-tuned,"February 10, 2025",9.15
+Not started,HuggingFaceTB/SmolLM2-1.7B,bfloat16,pretrained,,1.71
+Test,HuggingFaceTB/SmolLM2-1.7B-Instruct,bfloat16,instruction-tuned,,1.71
+Done,CohereForAI/aya-expanse-8b,float16,pretrained,"December 3, 2024",8.03
+Done,Qwen/Qwen2.5-1.5B,bfloat16,pretrained,,1.54
+Done,Qwen/Qwen2.5-1.5B-Instruct,bfloat16,instruction-tuned,,1.54
+Done,Qwen/Qwen2.5-7B,bfloat16,pretrained,,7.62
+Done,Qwen/Qwen2.5-7B-Instruct,bfloat16,instruction-tuned,,7.62
+Done,google/gemma-2-2b,float32,pretrained,"September 12, 2024",2.61
+Done,google/gemma-2-2b-it,bfloat16,instruction-tuned,"August 2, 2024",2.61
+Done,google/gemma-2-9b,float32,pretrained,"September 12, 2024",9.24
+Done,google/gemma-2-9b-it,bfloat16,instruction-tuned,"September 12, 2024",9.24
+Not started,meta-llama/Llama-3.2-3B,bfloat16,pretrained,"November 8, 2024",3.21
+Not started,meta-llama/Llama-3.2-3B-Instruct,bfloat16,instruction-tuned,"January 27, 2025",3.21
+Not started,Qwen/Qwen2.5-3B,bfloat16,pretrained,,3.09
+Not started,Qwen/Qwen2.5-3B-Instruct,bfloat16,instruction-tuned,,3.09
+Done,microsoft/phi-1_5,float16,pretrained,"December 11, 2024",1.42
+Not started,microsoft/Phi-3-small-128k-instruct,bfloat16,instruction-tuned,"December 11, 2024",7.39
+Not started,microsoft/Phi-3.5-mini-instruct,bfloat16,instruction-tuned,"December 11, 2024",3.82
+,tiiuae/Falcon3-7B-Base,bfloat16,pretrained,,
+In progress,projecte-aina/aguila-7b,float16,pretrained,"September 17, 2024",6.85
+Done,projecte-aina/FLOR-1.3B,float32,pretrained,,1.31
+Done,projecte-aina/FLOR-1.3B-Instructed,float16,instruction-tuned,,1.31
+Done,01-ai/Yi-1.5-9B,bfloat16,pretrained,"December 11, 2024",8.83
+Done,01-ai/Yi-1.5-9B-Chat,bfloat16,instruction-tuned,"December 11, 2024",8.83
+Done,occiglot/occiglot-7b-eu5,bfloat16,pretrained,,7.24
+Done,occiglot/occiglot-7b-eu5-instruct,bfloat16,instruction-tuned,,7.24
+Not started,openGPT-X/Teuken-7B-instruct-commercial-v0.4,bfloat16,instruction-tuned,,7.45
+Not started,openGPT-X/Teuken-7B-instruct-research-v0.4,bfloat16,instruction-tuned,,7.45
+,deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B,bfloat16,instruction-tuned,,1.78
+,deepseek-ai/DeepSeek-R1-Distill-Qwen-7B,bfloat16,instruction-tuned,,7.62
+Test,Qwen/Qwen2.5-14B-Instruct-GPTQ-Int8,float16,instruction-tuned,,4.99
+Not started,Qwen/Qwen2.5-32B-Instruct-GPTQ-Int4,float16,instruction-tuned,,5.74
+Not started,Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4,float16,instruction-tuned,,11.9
+Test,Qwen/Qwen3-14B-AWQ,float16,instruction-tuned,,3.32
+Not started,Qwen/Qwen3-30B-A3B-GPTQ-Int4,float16,instruction-tuned,,4.67
+Not started,Qwen/Qwen3-32B-AWQ,float16,instruction-tuned,,5.73
+,unsloth/DeepSeek-R1-Distill-Qwen-14B-bnb-4bit,bfloat16,instruction-tuned,,8.37
+Test,google/gemma-3-1b-it,bfloat16,instruction-tuned,,1
+Not started,google/gemma-3-1b-pt,bfloat16,pretrained,,1
+Not started,google/gemma-3-4b-it,bfloat16,instruction-tuned,,4.3
+Not started,google/gemma-3-4b-pt,bfloat16,pretrained,,4.3
+Not started,Qwen/Qwen3-0.6B,bfloat16,instruction-tuned,,0.753
+Not started,Qwen/Qwen3-0.6B-Base,bfloat16,instruction-tuned,,0.753
+Test,Qwen/Qwen3-1.7B,bfloat16,instruction-tuned,,2.03
+Not started,Qwen/Qwen3-1.7B-Base,bfloat16,instruction-tuned,,2.03
+Not started,Qwen/Qwen3-4B,bfloat16,instruction-tuned,,4.02
+Not started,Qwen/Qwen3-4B-Base,bfloat16,instruction-tuned,,4.02
+Not started,Qwen/Qwen3-8B,bfloat16,instruction-tuned,,8.19
+Not started,Qwen/Qwen3-8B-Base,bfloat16,instruction-tuned,,8.19
+Done,bertin-project/bertin-gpt-j-6B,float32,pretrained,"December 11, 2024",6.06
+,Qwen/Qwen2-7B,bfloat16,pretrained,"December 11, 2024",7
+In progress,tiiuae/falcon-7b,bfloat16,pretrained,,7
+Not started,tiiuae/falcon-7b-instruct,bfloat16,instruction-tuned,"October 31, 2024",7
+Not started,AIDC-AI/Marco-LLM-ES,bfloat16,pretrained,,7.62
+,Danielbrdz/Barcenas-27b,float32,pretrained,"December 11, 2024",27
+,ibm-granite/granite-3.0-8b-base,float32,pretrained,"October 24, 2024",8
+,ibm-granite/granite-3.0-8b-instruct,float32,instruction-tuned,"December 11, 2024",8
+,Iker/Llama-3-Instruct-Neurona-8b-v2,bfloat16,instruction-tuned,"December 11, 2024",8
+,internlm/internlm2_5-7b-chat,bfloat16,instruction-tuned,"December 11, 2024",7.74
+In progress,orai-nlp/Llama-eus-8B,bfloat16,pretrained,"December 11, 2024",8
+,sandbox-ai/Llama-3.1-Tango-8b-f16,float16,fine-tuned,,
+Not started,Almawave/Velvet-14B,bfloat16,pretrained,,14.1
+Not started,google/gemma-3-12b-it,bfloat16,instruction-tuned,,12.2
+Not started,google/gemma-3-12b-pt,bfloat16,pretrained,,12.2
+Not started,HiTZ/latxa-13b-v1.2,bfloat16,pretrained,"December 3, 2024",13
+,microsoft/phi-4,bfloat16,instruction-tuned,,14.7
+Not started,Qwen/Qwen3-14B,bfloat16,instruction-tuned,,14.8
+Not started,Qwen/Qwen3-14B-Base,bfloat16,instruction-tuned,,14.8
+,speakleash/Bielik-11B-v2.3-Instruct,float16,RL-tuned,,11
+,tiiuae/Falcon3-10B-Base,bfloat16,pretrained,,
+,BSC-LT/ALIA-40b,bfloat16,pretrained,,40.4
+Not started,CohereForAI/aya-expanse-32b,float16,instruction-tuned,,32.3
+Not started,CohereForAI/c4ai-command-r-08-2024,float16,pretrained,,32.3
+Not started,google/gemma-3-27b-it,bfloat16,instruction-tuned,,27.4
+Not started,google/gemma-3-27b-pt,bfloat16,pretrained,,27.4
+,mistralai/Mistral-Small-24B-Base-2501,bfloat16,pretrained,,23.6
+,mistralai/Mistral-Small-24B-Instruct-2501,bfloat16,instruction-tuned,,23.6
+Not started,Qwen/Qwen2.5-32B,bfloat16,pretrained,,32.8
+In progress,Qwen/Qwen2.5-32B-Instruct,bfloat16,instruction-tuned,"October 31, 2024",32.8
+Not started,Qwen/Qwen3-30B-A3B,bfloat16,instruction-tuned,,30.5
+Not started,Qwen/Qwen3-30B-A3B-Base,bfloat16,pretrained,,30.5
+Not started,Qwen/Qwen3-32B,bfloat16,instruction-tuned,,32.8
+Not started,Qwen/Qwen3-32B-Base,bfloat16,instruction-tuned,,32.8
+,deepseek-ai/DeepSeek-R1-Distill-Llama-8B,bfloat16,instruction-tuned,,8.03
+,TheBloke/CodeLlama-70B-Instruct-AWQ,float16,instruction-tuned,,9.68
+Not started,TheBloke/Llama-2-13B-chat-GPTQ,float16,instruction-tuned,,2.03
+,TheBloke/Llama-2-70B-GPTQ,float16,,,9.1
+,TheBloke/Mixtral-8x7B-v0.1-GPTQ,bfloat16,,,6.09
+,HiTZ/latxa-70b-v1.2,bfloat16,pretrained,"November 27, 2024",70
+,sandbox-ai/Llama-3.1-Tango-70b,float16,instruction-tuned,,70

tiiuae/Falcon3-7B-Base_eval_request_False_bfloat16_Original.json

@@ -1 +1 @@
-{"model": "tiiuae/Falcon3-7B-Base", "base_model": "", "revision": "bf3d7ed586cb22a921520e2d681a9d3d7642cde8", "precision": "bfloat16", "architecture": "LlamaForCausalLM", "weight_type": "Original", "status": "RUNNING", "submitted_time": "2025-01-13T06:47:33Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 21, "params": 7.456, "license": "other", "private": false, "sender": "rcojocaru"}
+{"model": "tiiuae/Falcon3-7B-Base", "base_model": "", "revision": "bf3d7ed586cb22a921520e2d681a9d3d7642cde8", "precision": "bfloat16", "architecture": "LlamaForCausalLM", "weight_type": "Original", "status": "PENDING", "submitted_time": "2025-01-13T06:47:33Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 21, "params": 7.456, "license": "other", "private": false, "sender": "rcojocaru"}