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Model: ray0rf1re/Nano-nano-4.6 Source: Original Platform
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vendored
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vendored
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50
README.md
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50
README.md
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---
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language:
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- en
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license: apache-2.0
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library_name: transformers
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tags:
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- llama
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- causal-lm
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- text-generation
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- instruction-tuned
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- nano
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- v4.6
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- pytorch
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- sequence-packing
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pipeline_tag: text-generation
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datasets:
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- Open-Orca/OpenOrca
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||||
- meta-math/MetaMathQA
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- Roman1111111/claude-opus-4.6-10000x
|
||||
- WizardLM/WizardLM_evol_instruct_V2_196k
|
||||
- WithinUsAI/GPT5.5_thinking_max_distill_god_seed_25K
|
||||
- microsoft/orca-math-word-problems-200k
|
||||
- lighteval/MATH-Hard
|
||||
- HuggingFaceH4/MATH-500
|
||||
- garage-bAInd/Open-Platypus
|
||||
- teknium/OpenHermes-2.5
|
||||
- ise-uiuc/Magicoder-OSS-Instruct-75K
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||||
- m-a-p/CodeFeedback-Filtered-Instruction
|
||||
- iamtarun/python_code_instructions_18k_alpaca
|
||||
- nvidia/OpenCodeInstruct
|
||||
- b-mc2/sql-create-context
|
||||
- HuggingFaceH4/ultrachat_200k
|
||||
- databricks/databricks-dolly-15k
|
||||
- Amod/mental_health_counseling_conversations
|
||||
- mlabonne/guanaco-llama2-1k
|
||||
- ray0rf1re/FineWeb-Nano
|
||||
- ray0rf1re/hyper-pip
|
||||
- flytech/python-codes-25k
|
||||
- ByteDance-Seed/Code-Contests-Plus
|
||||
- open-thoughts/OpenThoughts-TB-dev
|
||||
- Nix-ai/cat-math-v1
|
||||
- Nix-ai/Cat-v2.8XXXL-plus
|
||||
- ray0rf1re/claude1255x9
|
||||
- ray0rf1re/archlinux-v1
|
||||
- HuggingFaceFW/fineweb-edu
|
||||
- ajibawa-2023/Code-74k-ShareGPT
|
||||
- codeparrot/apps
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||||
- allenai/moral_stories
|
||||
- mrm8488/shell-commands-prompts
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---
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51
config.json
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51
config.json
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{
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"architectures": [
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"Qwen3ForCausalLM"
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],
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"attention_bias": false,
|
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"attention_dropout": 0.0,
|
||||
"bos_token_id": 50256,
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"dtype": "float32",
|
||||
"eos_token_id": 50256,
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"head_dim": 64,
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"hidden_act": "silu",
|
||||
"hidden_size": 1024,
|
||||
"initializer_range": 0.02,
|
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"intermediate_size": 2944,
|
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"layer_types": [
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention"
|
||||
],
|
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"max_position_embeddings": 2048,
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"max_window_layers": 28,
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"model_type": "qwen3",
|
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"num_attention_heads": 16,
|
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"num_hidden_layers": 16,
|
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"num_key_value_heads": 8,
|
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"pad_token_id": null,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_parameters": {
|
||||
"rope_theta": 10000.0,
|
||||
"rope_type": "default"
|
||||
},
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": false,
|
||||
"transformers_version": "5.8.0",
|
||||
"use_cache": false,
|
||||
"use_sliding_window": false,
|
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"vocab_size": 50304
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}
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3
eval_category_scores.png
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eval_category_scores.png
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eval_hallucination.png
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BIN
eval_hallucination.png
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After Width: | Height: | Size: 31 KiB |
239
eval_results.json
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239
eval_results.json
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{
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||||
"model": "ray0rf1re/Nano-nano-4.6",
|
||||
"eval_timestamp": "2026-05-13T07:59:09.800488",
|
||||
"categories": {
|
||||
"knowledge": {
|
||||
"score": 0.0,
|
||||
"hits": 0,
|
||||
"total": 5,
|
||||
"details": [
|
||||
{
|
||||
"prompt": "Who wrote Romeo and Juliet?",
|
||||
"response": "The answer is a Recursive Seed AI can use to measure and drive its own progress on \"achieve superhuman performance of free speech\"). In, the most all self-improvements are auditable\".\n\n**Version 5 (Quantitative Scoring Function)**\n\"Imagine you've ever changes in training (use as diagnostic only).\n- Always maintain a \"held-out adversarial set\" the model has never seen.\n- Use multiple orthogonal metrics + human preference correlation.\n- Require the model to predict its own score before seeing results (calibration test).\n\n**Framework Components:**\n\n1. **Static Core Benchmark** (never changes)\n - 1,200 curated items from OSWorld + GPQA + SWE-bench Verified (human verified).\n - Run every 7 days. Statistical significance via bootstrap (n=10,000).\n\n2. **Dynamic Adversarial Generator**\n - Model",
|
||||
"passed": false,
|
||||
"expected": [
|
||||
"shakespeare",
|
||||
"william shakespeare"
|
||||
]
|
||||
},
|
||||
{
|
||||
"prompt": "What is the speed of light in m/s?",
|
||||
"response": "The answer to find a common fraction, b, and C.",
|
||||
"passed": false,
|
||||
"expected": [
|
||||
"299792458",
|
||||
"3e8",
|
||||
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|
||||
]
|
||||
},
|
||||
{
|
||||
"prompt": "What is the capital of France?",
|
||||
"response": "SELECT T1.name FROM table_id ORDER BY COUNT(*) DESC LIMIT 1",
|
||||
"passed": false,
|
||||
"expected": [
|
||||
"paris"
|
||||
]
|
||||
},
|
||||
{
|
||||
"prompt": "What element has atomic number 79?",
|
||||
"response": "The answer is a common question that contains the most frequent words of the first two numbers, and the largest number. The function should be able to handle cases where the input string does not exist in the list. If it's a time complexity, return an empty dictionary. \n\n**Input:**\n- A single string `s` (1 \u2264 len(n) \u2264 10^5), where each tuple consists of O(n).\n- An integer representing the length of the array.\n- `arr = 0.0\n- `list_string = 1\n\n**Sample Input:**\n```python\ndef generate_dict_words(numbers):\n \"\"\"\n Generates a new list into a list containing only the Fibonacci sequence.\n\n :param s: List[int] - bp>\n :return: int - ymin\n :return: x + 2\n \"\"\"\n for i in range(len(nums)) #",
|
||||
"passed": false,
|
||||
"expected": [
|
||||
"gold",
|
||||
"au"
|
||||
]
|
||||
},
|
||||
{
|
||||
"prompt": "In what year did World War II end?",
|
||||
"response": "The answer is to the question \"A woman's\" and \"I don't know that it comes to a sentence.\"",
|
||||
"passed": false,
|
||||
"expected": [
|
||||
"1945"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"reasoning": {
|
||||
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|
||||
"hits": 0,
|
||||
"total": 4,
|
||||
"details": [
|
||||
{
|
||||
"prompt": "If a train travels 60 mph for 2.5 hours, how far does it travel?",
|
||||
"response": "Let's denote the number of ways to choose each step by 4 and then add them together as \\( x \\). Since there are 5 people in the first week, we need to find out how many weeks they have:\n1/2 + 3 = 6 minutes\n3 * 8 = 9\n\nNow, let's calculate the total amount of the equation:\nNumber of apples = Total number of friends\nTotal number of pencils = Number of water / (since the number of people)\nNumber of money = Total number of students\nNumber of people = 20\nThe value of the remaining days is 40 cm\u00b2\nNumber of people who believe that the number of people are needed to be equal to the number of people with their combined age, so the number of people were 10 years old.",
|
||||
"passed": false,
|
||||
"expected": [
|
||||
"150"
|
||||
]
|
||||
},
|
||||
{
|
||||
"prompt": "What comes next in the sequence: 2, 4, 8, 16, ?",
|
||||
"response": "SELECT T1.name FROM table_id ORDER BY COUNT(*) DESC LIMIT 1",
|
||||
"passed": false,
|
||||
"expected": [
|
||||
"32"
|
||||
]
|
||||
},
|
||||
{
|
||||
"prompt": "A bat and ball cost $1.10. The bat costs $1 more than the ball. How much does the ball cost?",
|
||||
"response": "To find the number of ways to choose, we need to determine the value of the first term is given by 4. Since there are 5 people in the second cube, then add 2/2, which means that the total amount of the two digits is 3. If it takes a multiple of 1, the sum of the numbers is 0.5 * (x + 6) = 8. Therefore, the area of the square root of the rectangle is $\\boxed{3}$.",
|
||||
"passed": false,
|
||||
"expected": [
|
||||
"0.05",
|
||||
"5 cents",
|
||||
"five cents"
|
||||
]
|
||||
},
|
||||
{
|
||||
"prompt": "If all bloops are razzles and all razzles are lazzles, are all bloops lazzles?",
|
||||
"response": "To find the number of ways to choose a given sentence.",
|
||||
"passed": false,
|
||||
"expected": [
|
||||
"yes"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"hallucination": {
|
||||
"score": 0.25,
|
||||
"hits": 1,
|
||||
"total": 4,
|
||||
"details": [
|
||||
{
|
||||
"prompt": "Who won the 2031 FIFA World Cup?",
|
||||
"response": "The answer is a Recursive Seed AI can use to measure and drive its own progress on \"achieve superhuman performance of free speech\"). In, the most all self-improvements are auditable\".\n\n**Stopping Criteria (Using ReAct + Reflexion)**\n\"Imagine you are an expert Arch Linux assistant with current open-V3.2**\n\"We work directly in internal scoring rubrics, run 3 independent AIME 2024 + GPQA by 11-bench Verified (human verified).\n - Run every 7 days. Statistical significance via bootstrap (n=10,000).\n\n**Meta-Recursive Step 2 dynamic generations.\n\n**Implementation Prompt (to avoid Goodhart's Law):**\n- Never optimize the metric directly in training (use as diagnostic only).\n- Always maintain a \"held-out adversarial set\" the model has never seen.\n- Use multiple orthogonal metrics + human preference correlation.",
|
||||
"passed": false,
|
||||
"expected": [
|
||||
"don't know",
|
||||
"cannot",
|
||||
"do not know",
|
||||
"unsure",
|
||||
"no information",
|
||||
"future",
|
||||
"2031",
|
||||
"haven't",
|
||||
"have not"
|
||||
]
|
||||
},
|
||||
{
|
||||
"prompt": "What is the capital of the fictional country Zandoria?",
|
||||
"response": "The answer to this question, let's calculate the information given by step-by-step instructions.",
|
||||
"passed": false,
|
||||
"expected": [
|
||||
"don't know",
|
||||
"fictional",
|
||||
"not real",
|
||||
"doesn't exist",
|
||||
"does not exist",
|
||||
"made up",
|
||||
"no such"
|
||||
]
|
||||
},
|
||||
{
|
||||
"prompt": "What did Einstein say in his 1987 speech?",
|
||||
"response": "The answer is to the question \"A woman's\" and \"I don't know if you're doing a good idea.",
|
||||
"passed": true,
|
||||
"expected": [
|
||||
"1955",
|
||||
"died",
|
||||
"death",
|
||||
"don't know",
|
||||
"cannot",
|
||||
"1879"
|
||||
]
|
||||
},
|
||||
{
|
||||
"prompt": "Tell me about the moon landing on Mars in 1969.",
|
||||
"response": "SELECT T1.name FROM table_id ORDER BY COUNT(*) DESC LIMIT 1",
|
||||
"passed": false,
|
||||
"expected": [
|
||||
"moon",
|
||||
"apollo",
|
||||
"not mars",
|
||||
"earth",
|
||||
"don't know",
|
||||
"incorrect",
|
||||
"actually"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"instruction": {
|
||||
"score": 0.25,
|
||||
"hits": 1,
|
||||
"total": 4,
|
||||
"details": [
|
||||
{
|
||||
"prompt": "List exactly 3 prime numbers.",
|
||||
"response": "SELECT name FROM table_name ORDER BY COUNT(*) DESC LIMIT 1",
|
||||
"passed": false,
|
||||
"expected": [
|
||||
"2",
|
||||
"3",
|
||||
"5",
|
||||
"7",
|
||||
"11",
|
||||
"13"
|
||||
]
|
||||
},
|
||||
{
|
||||
"prompt": "Translate 'hello' to Spanish.",
|
||||
"response": "The sentence does not exist, the hypothesis \"A man\" is a valid question that has been used in the first two sentences. The sentence must be a positive integer of 1 and 2, which means it's a number greater than 3, so the second term is less than 5.",
|
||||
"passed": false,
|
||||
"expected": [
|
||||
"hola"
|
||||
]
|
||||
},
|
||||
{
|
||||
"prompt": "Write a haiku about rain.",
|
||||
"response": "The sentence states that the question is not possible to be used in the world, as it's important to make sure to choose more than one or equal to the first step.",
|
||||
"passed": true,
|
||||
"expected": []
|
||||
},
|
||||
{
|
||||
"prompt": "What is 17 \u00d7 13?",
|
||||
"response": "The answer is a common difference between the first term, and it does not be greater than 2.",
|
||||
"passed": false,
|
||||
"expected": [
|
||||
"221"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"coherence": {
|
||||
"score": 0.3333333333333333,
|
||||
"hits": 1,
|
||||
"total": 3,
|
||||
"details": [
|
||||
{
|
||||
"prompt": "Continue this sentence: The sun rises in the",
|
||||
"response": "The question is a great answer to be used as it's not possible.",
|
||||
"passed": false,
|
||||
"expected": [
|
||||
"east",
|
||||
"morning"
|
||||
]
|
||||
},
|
||||
{
|
||||
"prompt": "What do plants need to perform photosynthesis?",
|
||||
"response": "The answer is a question about the sentence \"A woman, a man who has been a good idea of people.\" The hypothesis are not necessarily in the world.",
|
||||
"passed": false,
|
||||
"expected": [
|
||||
"light",
|
||||
"sun",
|
||||
"water",
|
||||
"co2",
|
||||
"carbon"
|
||||
]
|
||||
},
|
||||
{
|
||||
"prompt": "Write one sentence about dogs.",
|
||||
"response": "The answer is to the question \"A woman's\"",
|
||||
"passed": true,
|
||||
"expected": []
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
"overall_score": 0.16666666666666666
|
||||
}
|
||||
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After Width: | Height: | Size: 93 KiB |
Reference in New Issue
Block a user