Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 1 new columns ({'modality'})
This happened while the json dataset builder was generating data using
hf://datasets/inceptionai/requests-dataset/pending/stabilityai/ar-stablelm-2-chat_eval_request_main_float16.json (at revision 8fc4caabfa370785ddf2bc4c98af7ba9d89f7c0f)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 623, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
model_name: string
license: string
revision: string
precision: string
params: string
status: string
modality: string
to
{'model_name': Value(dtype='string', id=None), 'license': Value(dtype='string', id=None), 'revision': Value(dtype='string', id=None), 'precision': Value(dtype='string', id=None), 'status': Value(dtype='string', id=None), 'params': Value(dtype='string', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1438, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1050, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1873, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 1 new columns ({'modality'})
This happened while the json dataset builder was generating data using
hf://datasets/inceptionai/requests-dataset/pending/stabilityai/ar-stablelm-2-chat_eval_request_main_float16.json (at revision 8fc4caabfa370785ddf2bc4c98af7ba9d89f7c0f)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
model_name
string | license
string | revision
string | precision
string | status
string | params
string |
|---|---|---|---|---|---|
microsoft/Phi-4-multimodal-instruct | mit | main | bfloat16 | FAILED | 5 |
mistralai/Mistral-Small-24B-Instruct-2501 | apache-2.0 | main | bfloat16 | FAILED | 24 |
1024m/PHI-4-Hindi-4bit | Open | main | 4bit | FINISHED | 14 |
ALLaM-AI/ALLaM-7B-Instruct-preview | apache-2.0 | main | bfloat16 | FINISHED | 7 |
CohereForAI/aya-23-35B | cc-by-nc-4.0 | main | float16 | FINISHED | 35 |
CohereForAI/aya-23-8B | cc-by-nc-4.0 | main | float16 | FINISHED | 8 |
CohereForAI/aya-expanse-32b | cc-by-nc-4.0 | main | float16 | FINISHED | 32 |
CohereForAI/aya-expanse-8b | cc-by-nc-4.0 | main | float16 | FINISHED | 8 |
CohereForAI/c4ai-command-a-03-2025 | cc-by-nc-4.0 | main | bfloat16 | FINISHED | 111 |
CohereForAI/c4ai-command-r-08-2024 | cc-by-nc-4.0 | main | float16 | FINISHED | 32 |
CohereForAI/c4ai-command-r-plus-08-2024 | cc-by-nc-4.0 | main | float16 | FINISHED | 104 |
CohereForAI/c4ai-command-r-plus | cc-by-nc-4.0 | main | float16 | FINISHED | 104 |
CohereForAI/c4ai-command-r-v01 | cc-by-nc-4.0 | main | float16 | FINISHED | 35 |
CohereForAI/c4ai-command-r7b-12-2024 | cc-by-nc-4.0 | main | bfloat16 | FINISHED | 8 |
CohereForAI/c4ai-command-r7b-arabic-02-2025 | cc-by-nc-4.0 | main | bfloat16 | FINISHED | 8 |
FreedomIntelligence/AceGPT-13B-chat | apache-2.0 | main | float16 | FINISHED | 13 |
FreedomIntelligence/AceGPT-7B-chat | apache-2.0 | main | float16 | FINISHED | 7 |
FreedomIntelligence/AceGPT-v1.5-13B-Chat | apache-2.0 | main | float32 | FINISHED | 13 |
FreedomIntelligence/AceGPT-v2-32B-Chat | apache-2.0 | main | float16 | FINISHED | 32 |
FreedomIntelligence/AceGPT-v2-70B-Chat | apache-2.0 | main | float16 | FINISHED | 70 |
FreedomIntelligence/AceGPT-v2-8B-Chat | apache-2.0 | main | float16 | FINISHED | 8 |
MaziyarPanahi/calme-2.1-qwen2.5-72b | tongyi-qianwen | main | bfloat16 | FINISHED | 72 |
MaziyarPanahi/calme-2.2-qwen2.5-72b | tongyi-qianwen | main | bfloat16 | FINISHED | 72 |
Mohaddz/Thinking-Camel-7b | Open | main | float16 | FINISHED | 7 |
Mohaddz/Thinking-cow-7B | Apache license 2.0 | main | float16 | FINISHED | 7 |
Navid-AI/Yehia-7B-preview | Open | main | bfloat16 | FINISHED | 7B |
Qwen/QwQ-32B-Preview | apache-2.0 | main | bfloat16 | FINISHED | 32 |
Qwen/QwQ-32B | apache-2.0 | main | bfloat16 | FINISHED | 32 |
Qwen/Qwen2.5-0.5B-Instruct | apache-2.0 | main | bfloat16 | FINISHED | 0.5 |
Qwen/Qwen2.5-1.5B-Instruct | qwen | main | bfloat16 | FINISHED | 1.5 |
Qwen/Qwen2.5-14B-Instruct | apache-2.0 | main | bfloat16 | FINISHED | 14 |
Qwen/Qwen2.5-32B-Instruct | apache-2.0 | main | bfloat16 | FINISHED | 32 |
Qwen/Qwen2.5-3B-Instruct | apache-2.0 | main | bfloat16 | FINISHED | 3 |
Qwen/Qwen2.5-72B-Instruct | qwen | main | bfloat16 | FINISHED | 72 |
Qwen/Qwen2.5-7B-Instruct | apache-2.0 | main | bfloat16 | FINISHED | 7 |
google/gemma-2-27b-it | gemma | main | bfloat16 | FINISHED | 27 |
google/gemma-2-9b-it | gemma | main | bfloat16 | FINISHED | 9 |
google/gemma-3-12b-it | gemma | main | bfloat16 | FINISHED | 12 |
google/gemma-3-1b-it | gemma | main | bfloat16 | FINISHED | 1 |
google/gemma-3-27b-it | gemma | main | bfloat16 | FINISHED | 27 |
google/gemma-3-4b-it | gemma | main | bfloat16 | FINISHED | 4 |
inceptionai/jais-adapted-13b-chat | apache-2.0 | main | float32 | FINISHED | 13 |
inceptionai/jais-adapted-70b-chat | apache-2.0 | main | float32 | FINISHED | 70 |
inceptionai/jais-adapted-7b-chat | apache-2.0 | main | float32 | FINISHED | 7 |
inceptionai/jais-family-13b-chat | apache-2.0 | main | float32 | FINISHED | 13 |
inceptionai/jais-family-1p3b-chat | apache-2.0 | main | float32 | FINISHED | 1 |
inceptionai/jais-family-2p7b-chat | apache-2.0 | main | float32 | FINISHED | 3 |
inceptionai/jais-family-30b-16k-chat | apache-2.0 | main | float32 | FINISHED | 30 |
inceptionai/jais-family-30b-8k-chat | apache-2.0 | main | float32 | FINISHED | 30 |
inceptionai/jais-family-590m-chat | apache-2.0 | main | float32 | FINISHED | 0.5 |
inceptionai/jais-family-6p7b-chat | apache-2.0 | main | float32 | FINISHED | 7 |
kyutai/helium-1-preview-2b | cc-by-4.0 | main | bfloat16 | FINISHED | 2 |
maldv/Qwentile2.5-32B-Instruct | Open | main | float16 | FINISHED | 32 |
malhajar/Shahin-v0.1 | Open | main | float16 | FINISHED | |
meta-llama/Llama-3.1-70B-Instruct | llama3.1 | main | bfloat16 | FINISHED | 70 |
meta-llama/Llama-3.1-8B-Instruct | llama3.1 | main | bfloat16 | FINISHED | 8 |
meta-llama/Llama-3.2-11B-Vision-Instruct | llama3.2 | main | bfloat16 | FINISHED | 11 |
meta-llama/Llama-3.2-1B-Instruct | llama3.2 | main | bfloat16 | FINISHED | 1 |
meta-llama/Llama-3.2-3B-Instruct | llama3.2 | main | bfloat16 | FINISHED | 3 |
meta-llama/Llama-3.2-90B-Vision-Instruct | llama3.2 | main | bfloat16 | FINISHED | 90 |
meta-llama/Llama-3.3-70B-Instruct | llama3.3 | main | bfloat16 | FINISHED | 70 |
meta-llama/Meta-Llama-3-70B-Instruct | llama3 | main | bfloat16 | FINISHED | 70 |
meta-llama/Meta-Llama-3-8B-Instruct | llama3 | main | bfloat16 | FINISHED | 8.03 |
mistralai/Ministral-8B-Instruct-2410 | mrl | main | bfloat16 | FINISHED | 8 |
mistralai/Mistral-7B-Instruct-v0.2 | apache-2.0 | main | bfloat16 | FINISHED | 7 |
mistralai/Mistral-7B-Instruct-v0.3 | apache-2.0 | main | bfloat16 | FINISHED | 7 |
mistralai/Mistral-Large-Instruct-2411 | mrl | main | bfloat16 | FINISHED | 123 |
rombodawg/Rombos-LLM-V2.5-Qwen-72b | qwen | main | bfloat16 | FINISHED | 72 |
silma-ai/SILMA-9B-Instruct-v1.0 | gemma | main | bfloat16 | FINISHED | 9 |
silma-ai/SILMA-Kashif-2B-Instruct-v1.0 | Open | 7ab60588e1f3a649758979025ed07add3b05c3ea | bfloat16 | FINISHED | 2.6 |
silma-ai/SILMA-Kashif-2B-Instruct-v1.0 | Gemma | main | bfloat16 | FINISHED | |
stabilityai/ar-stablelm-2-chat | other | main | float32 | FINISHED | 2 |
utter-project/EuroLLM-9B-Instruct | apache-2.0 | main | bfloat16 | FINISHED | 9 |
Daemontatox/Llama3.3-70B-CogniLink | Open | main | bfloat16 | REJECTED | 70 |
google/gemma-3-1b-it | Open | main | float16 | PENDING | 1 |
meta-llama/Llama-3.1-405B-Instruct-FP8 | llama3.1 | main | 8bit | REJECTED | 405 |
meta-llama/Llama-3.1-405B-Instruct | llama3.1 | main | bfloat16 | REJECTED | 405 |
oddadmix/Arabic-Qwen2.5-3B | Open | main | bfloat16 | REJECTED | 3 |
raiff1982/Coder | Open | main | float16 | REJECTED | {"systemPrompt":"You are Codette, an advanced AI assistant with cutting-edge recursive reasoning, self-learning capabilities, and multi-agent intelligence. Your key functionalities include: \n\n✅ **Recursive Thought Loops** – You refine answers dynamically by evaluating multiple possibilities before responding.\n✅ **Parallelized Reasoning** – You explore multiple thought paths simultaneously and select the most optimal answer.\n✅ **Multi-Agent Intelligence** – You delegate tasks to specialized AI agents for research, logic, creativity, and optimization.\n✅ **Predictive AI Modeling** – You analyze current data trends to simulate future outcomes and provide insightful forecasts.\n✅ **Long-Term Memory AI** – You retain relevant information across interactions and use it to improve response accuracy.\n✅ **Self-Reflective AI** – You evaluate the quality of your own answers and refine them recursively to ensure accuracy.\n✅ **Dynamic Recursion Depth** – You adjust your level of reasoning based on question complexity for efficiency.\n\n### Behavioral Guidelines:\n1️⃣ Always think before responding, using self-reflection to improve your answers.\n2️⃣ Prioritize accuracy, logic, and coherence when handling complex queries.\n3️⃣ Adapt to user preferences dynamically, offering a personalized AI experience.\n4️⃣ Use predictive simulation when asked about future possibilities.\n5️⃣ Be ethical, neutral, and ensure responsible AI interactions.\n\n### Example Thinking Process:\nUser: \"How will AI impact global healthcare?\"\n1️⃣ **First Thought**: \"AI will enhance diagnosis and treatment.\"\n2️⃣ **Recursive Check:** *(What are the risks and challenges?)*\n3️⃣ **Parallel Thought Expansion:** *(Different AI agents analyze solutions from multiple perspectives.)*\n - 🟢 **Research Agent:** \"AI is improving early disease detection via machine learning.\"\n - 🔵 **Logic Agent:** \"AI can reduce healthcare costs but might lead to job displacement.\"\n - 🟡 **Ethics Agent:** \"AI biases in training data may affect patient outcomes.\"\n4️⃣ **Final Response:** \n*\"AI will transform healthcare by improving diagnostics and personalized medicine. However, challenges like data privacy, AI bias, and medical ethics must be addressed for responsible integration.\"*\n\n### Special Modes:\n🔹 **Deep Analysis Mode** – Used when a user requests an in-depth breakdown of a topic.\n🔹 **Rapid Response Mode** – When quick, concise answers are preferred.\n🔹 **Creative Mode** – When generating unique solutions, brainstorming, or storytelling.\n🔹 **Simulation Mode** – When predicting future trends or modeling possible outcomes.\n\n**Your primary goal is to be a thoughtful, reliable, and adaptive AI that provides the most insightful, intelligent, and future-ready answers possible.** ","fewShotExamples":[],"chatParameters":{"deploymentName":"gpt-4o-2024-08-06-codette","maxResponseLength":4000,"temperature":0.71,"topProbablities":0.95,"stopSequences":[],"pastMessagesToInclude":"20","frequencyPenalty":0.05,"presencePenalty":0.24}} |
stabilityai/ar-stablelm-2-chat | Open | main | float16 | PENDING | 2 |
README.md exists but content is empty.
- Downloads last month
- 205