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  1. Keen-qwen4b-20b/README.md +16 -0
  2. Keen-qwen4b-20b/checkpoint-11202/README.md +40 -0
  3. Keen-qwen4b-20b/checkpoint-11202/config.json +83 -0
  4. Keen-qwen4b-20b/checkpoint-11202/generation_config.json +9 -0
  5. Keen-qwen4b-20b/checkpoint-11202/tokenizer_config.json +47 -0
  6. Keen-qwen4b-20b/checkpoint-13449/README.md +40 -0
  7. Keen-qwen4b-20b/checkpoint-13449/config.json +83 -0
  8. Keen-qwen4b-20b/checkpoint-13449/generation_config.json +9 -0
  9. Keen-qwen4b-20b/checkpoint-13449/tokenizer_config.json +47 -0
  10. Keen-qwen4b-20b/checkpoint-15698/README.md +40 -0
  11. Keen-qwen4b-20b/checkpoint-15698/config.json +83 -0
  12. Keen-qwen4b-20b/checkpoint-15698/generation_config.json +9 -0
  13. Keen-qwen4b-20b/checkpoint-15698/tokenizer_config.json +47 -0
  14. Keen-qwen4b-20b/checkpoint-17953/README.md +40 -0
  15. Keen-qwen4b-20b/checkpoint-17953/config.json +83 -0
  16. Keen-qwen4b-20b/checkpoint-17953/generation_config.json +9 -0
  17. Keen-qwen4b-20b/checkpoint-17953/tokenizer_config.json +47 -0
  18. Keen-qwen4b-20b/checkpoint-20218/README.md +40 -0
  19. Keen-qwen4b-20b/checkpoint-20218/config.json +83 -0
  20. Keen-qwen4b-20b/checkpoint-20218/generation_config.json +9 -0
  21. Keen-qwen4b-20b/checkpoint-20218/tokenizer_config.json +47 -0
  22. Keen-qwen4b-20b/checkpoint-22478/README.md +40 -0
  23. Keen-qwen4b-20b/checkpoint-22478/config.json +83 -0
  24. Keen-qwen4b-20b/checkpoint-22478/generation_config.json +9 -0
  25. Keen-qwen4b-20b/checkpoint-22478/tokenizer_config.json +47 -0
  26. Keen-qwen4b-20b/checkpoint-2253/README.md +40 -0
  27. Keen-qwen4b-20b/checkpoint-2253/config.json +83 -0
  28. Keen-qwen4b-20b/checkpoint-2253/generation_config.json +9 -0
  29. Keen-qwen4b-20b/checkpoint-2253/tokenizer_config.json +47 -0
  30. Keen-qwen4b-20b/checkpoint-4453/README.md +40 -0
  31. Keen-qwen4b-20b/checkpoint-4453/config.json +83 -0
  32. Keen-qwen4b-20b/checkpoint-4453/generation_config.json +9 -0
  33. Keen-qwen4b-20b/checkpoint-4453/tokenizer_config.json +47 -0
  34. Keen-qwen4b-20b/checkpoint-6701/README.md +40 -0
  35. Keen-qwen4b-20b/checkpoint-6701/config.json +83 -0
  36. Keen-qwen4b-20b/checkpoint-6701/generation_config.json +9 -0
  37. Keen-qwen4b-20b/checkpoint-6701/tokenizer_config.json +47 -0
  38. Keen-qwen4b-20b/checkpoint-8956/README.md +40 -0
  39. Keen-qwen4b-20b/checkpoint-8956/config.json +83 -0
  40. Keen-qwen4b-20b/checkpoint-8956/generation_config.json +9 -0
  41. Keen-qwen4b-20b/checkpoint-8956/tokenizer_config.json +47 -0
  42. README.md +32 -0
  43. Vanilla-qwen4b-20b/README.md +16 -0
  44. Vanilla-qwen4b-20b/checkpoint-1910/README.md +40 -0
  45. Vanilla-qwen4b-20b/checkpoint-9543/README.md +40 -0
  46. Vanilla-qwen4b-20b/checkpoint-9543/config.json +83 -0
  47. Vanilla-qwen4b-20b/checkpoint-9543/generation_config.json +9 -0
  48. Vanilla-qwen4b-20b/checkpoint-9543/tokenizer_config.json +47 -0
  49. checkpoints.json +202 -0
  50. manifest.json +626 -0
Keen-qwen4b-20b/README.md ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Keen-qwen4b-20b
2
+
3
+ Ten budget-boundary checkpoints, approximately every 2B body tokens from 2B through 20B. The additional final checkpoint at approximately 20.156B tokens is intentionally excluded.
4
+
5
+ | Checkpoint | Step | Body tokens | Status |
6
+ |---|---:|---:|---|
7
+ | [checkpoint-2253](checkpoint-2253) | 2,253 | 2,000,696,711 | Intermediate |
8
+ | [checkpoint-4453](checkpoint-4453) | 4,453 | 4,000,757,038 | Intermediate |
9
+ | [checkpoint-6701](checkpoint-6701) | 6,701 | 6,000,082,648 | Intermediate |
10
+ | [checkpoint-8956](checkpoint-8956) | 8,956 | 8,000,600,622 | Intermediate |
11
+ | [checkpoint-11202](checkpoint-11202) | 11,202 | 10,000,294,657 | Intermediate |
12
+ | [checkpoint-13449](checkpoint-13449) | 13,449 | 12,000,429,703 | Intermediate |
13
+ | [checkpoint-15698](checkpoint-15698) | 15,698 | 14,000,083,680 | Intermediate |
14
+ | [checkpoint-17953](checkpoint-17953) | 17,953 | 16,000,387,372 | Intermediate |
15
+ | [checkpoint-20218](checkpoint-20218) | 20,218 | 18,000,030,679 | Intermediate |
16
+ | [checkpoint-22478](checkpoint-22478) | 22,478 | 20,000,557,588 | Intermediate |
Keen-qwen4b-20b/checkpoint-11202/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Keen-qwen4b-20b: checkpoint-11202
2
+
3
+ Text-only Qwen3.5-4B architecture, trained from random initialization.
4
+ This is a base pretraining checkpoint, not an instruction-tuned chat model.
5
+ Training used 4,096-token packs with document-isolated attention.
6
+ The larger positional limit in the architecture configuration does not imply
7
+ validated long-context capability beyond the training context.
8
+
9
+ - Optimizer step: 11202
10
+ - Cumulative body tokens: 10,000,294,657
11
+ - Parameters: 4,205,751,296
12
+ - Precision: BF16
13
+ - Special document-end token: `<|endoftext|>`
14
+
15
+ Keen conditions passage reconstruction on `<fact>entity list</fact>`; the prefix participates in attention but is excluded from the training loss.
16
+
17
+ Use Transformers 5.6.2 (the training/evaluation version) with its native
18
+ `Qwen3_5ForCausalLM` implementation. Install PyTorch and Accelerate for GPU loading.
19
+ No remote custom model code is required. Use plain text prompts rather than a
20
+ chat template. Inference caching is enabled in the released configuration;
21
+ weights and tokenizer vocabulary are unchanged.
22
+
23
+ ```python
24
+ import torch
25
+ from transformers import AutoModelForCausalLM, AutoTokenizer
26
+
27
+ repo = "meihant/AnonymousModel-mht"
28
+ subfolder = "Keen-qwen4b-20b/checkpoint-11202"
29
+ tokenizer = AutoTokenizer.from_pretrained(repo, subfolder=subfolder)
30
+ model = AutoModelForCausalLM.from_pretrained(
31
+ repo, subfolder=subfolder, dtype=torch.bfloat16,
32
+ device_map="auto", attn_implementation="eager",
33
+ ).eval()
34
+ inputs = tokenizer("<fact>Paris, France</fact>\nParis", return_tensors="pt").to(model.device)
35
+ with torch.inference_mode():
36
+ output = model.generate(**inputs, max_new_tokens=64, do_sample=False,
37
+ use_cache=True, pad_token_id=tokenizer.eos_token_id)
38
+ print(tokenizer.decode(output[0], skip_special_tokens=False))
39
+ ```
40
+
Keen-qwen4b-20b/checkpoint-11202/config.json ADDED
@@ -0,0 +1,83 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3_5ForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "attn_output_gate": true,
8
+ "bos_token_id": null,
9
+ "dtype": "bfloat16",
10
+ "eos_token_id": 248044,
11
+ "full_attention_interval": 4,
12
+ "head_dim": 256,
13
+ "hidden_act": "silu",
14
+ "hidden_size": 2560,
15
+ "initializer_range": 0.02,
16
+ "intermediate_size": 9216,
17
+ "layer_types": [
18
+ "linear_attention",
19
+ "linear_attention",
20
+ "linear_attention",
21
+ "full_attention",
22
+ "linear_attention",
23
+ "linear_attention",
24
+ "linear_attention",
25
+ "full_attention",
26
+ "linear_attention",
27
+ "linear_attention",
28
+ "linear_attention",
29
+ "full_attention",
30
+ "linear_attention",
31
+ "linear_attention",
32
+ "linear_attention",
33
+ "full_attention",
34
+ "linear_attention",
35
+ "linear_attention",
36
+ "linear_attention",
37
+ "full_attention",
38
+ "linear_attention",
39
+ "linear_attention",
40
+ "linear_attention",
41
+ "full_attention",
42
+ "linear_attention",
43
+ "linear_attention",
44
+ "linear_attention",
45
+ "full_attention",
46
+ "linear_attention",
47
+ "linear_attention",
48
+ "linear_attention",
49
+ "full_attention"
50
+ ],
51
+ "linear_conv_kernel_dim": 4,
52
+ "linear_key_head_dim": 128,
53
+ "linear_num_key_heads": 16,
54
+ "linear_num_value_heads": 32,
55
+ "linear_value_head_dim": 128,
56
+ "mamba_ssm_dtype": "float32",
57
+ "max_position_embeddings": 262144,
58
+ "mlp_only_layers": [],
59
+ "model_type": "qwen3_5_text",
60
+ "mtp_num_hidden_layers": 1,
61
+ "mtp_use_dedicated_embeddings": false,
62
+ "num_attention_heads": 16,
63
+ "num_hidden_layers": 32,
64
+ "num_key_value_heads": 4,
65
+ "pad_token_id": 248044,
66
+ "partial_rotary_factor": 0.25,
67
+ "rms_norm_eps": 1e-06,
68
+ "rope_parameters": {
69
+ "mrope_interleaved": true,
70
+ "mrope_section": [
71
+ 11,
72
+ 11,
73
+ 10
74
+ ],
75
+ "partial_rotary_factor": 0.25,
76
+ "rope_theta": 10000000,
77
+ "rope_type": "default"
78
+ },
79
+ "tie_word_embeddings": true,
80
+ "transformers_version": "5.6.2",
81
+ "use_cache": true,
82
+ "vocab_size": 248320
83
+ }
Keen-qwen4b-20b/checkpoint-11202/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "eos_token_id": 248044,
4
+ "output_attentions": false,
5
+ "output_hidden_states": false,
6
+ "pad_token_id": 248044,
7
+ "transformers_version": "5.6.2",
8
+ "use_cache": true
9
+ }
Keen-qwen4b-20b/checkpoint-11202/tokenizer_config.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "audio_bos_token": "<|audio_start|>",
4
+ "audio_eos_token": "<|audio_end|>",
5
+ "audio_token": "<|audio_pad|>",
6
+ "backend": "tokenizers",
7
+ "bos_token": null,
8
+ "clean_up_tokenization_spaces": false,
9
+ "eos_token": "<|endoftext|>",
10
+ "errors": "replace",
11
+ "extra_special_tokens": [
12
+ "<|im_start|>",
13
+ "<|im_end|>",
14
+ "<|object_ref_start|>",
15
+ "<|object_ref_end|>",
16
+ "<|box_start|>",
17
+ "<|box_end|>",
18
+ "<|quad_start|>",
19
+ "<|quad_end|>",
20
+ "<|vision_start|>",
21
+ "<|vision_end|>",
22
+ "<|vision_pad|>",
23
+ "<|image_pad|>",
24
+ "<|video_pad|>",
25
+ "<fact>",
26
+ "</fact>"
27
+ ],
28
+ "image_token": "<|image_pad|>",
29
+ "model_max_length": 32768,
30
+ "model_specific_special_tokens": {
31
+ "audio_bos_token": "<|audio_start|>",
32
+ "audio_eos_token": "<|audio_end|>",
33
+ "audio_token": "<|audio_pad|>",
34
+ "image_token": "<|image_pad|>",
35
+ "video_token": "<|video_pad|>",
36
+ "vision_bos_token": "<|vision_start|>",
37
+ "vision_eos_token": "<|vision_end|>"
38
+ },
39
+ "pad_token": "<|endoftext|>",
40
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
41
+ "split_special_tokens": false,
42
+ "tokenizer_class": "Qwen2Tokenizer",
43
+ "unk_token": null,
44
+ "video_token": "<|video_pad|>",
45
+ "vision_bos_token": "<|vision_start|>",
46
+ "vision_eos_token": "<|vision_end|>"
47
+ }
Keen-qwen4b-20b/checkpoint-13449/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Keen-qwen4b-20b: checkpoint-13449
2
+
3
+ Text-only Qwen3.5-4B architecture, trained from random initialization.
4
+ This is a base pretraining checkpoint, not an instruction-tuned chat model.
5
+ Training used 4,096-token packs with document-isolated attention.
6
+ The larger positional limit in the architecture configuration does not imply
7
+ validated long-context capability beyond the training context.
8
+
9
+ - Optimizer step: 13449
10
+ - Cumulative body tokens: 12,000,429,703
11
+ - Parameters: 4,205,751,296
12
+ - Precision: BF16
13
+ - Special document-end token: `<|endoftext|>`
14
+
15
+ Keen conditions passage reconstruction on `<fact>entity list</fact>`; the prefix participates in attention but is excluded from the training loss.
16
+
17
+ Use Transformers 5.6.2 (the training/evaluation version) with its native
18
+ `Qwen3_5ForCausalLM` implementation. Install PyTorch and Accelerate for GPU loading.
19
+ No remote custom model code is required. Use plain text prompts rather than a
20
+ chat template. Inference caching is enabled in the released configuration;
21
+ weights and tokenizer vocabulary are unchanged.
22
+
23
+ ```python
24
+ import torch
25
+ from transformers import AutoModelForCausalLM, AutoTokenizer
26
+
27
+ repo = "meihant/AnonymousModel-mht"
28
+ subfolder = "Keen-qwen4b-20b/checkpoint-13449"
29
+ tokenizer = AutoTokenizer.from_pretrained(repo, subfolder=subfolder)
30
+ model = AutoModelForCausalLM.from_pretrained(
31
+ repo, subfolder=subfolder, dtype=torch.bfloat16,
32
+ device_map="auto", attn_implementation="eager",
33
+ ).eval()
34
+ inputs = tokenizer("<fact>Paris, France</fact>\nParis", return_tensors="pt").to(model.device)
35
+ with torch.inference_mode():
36
+ output = model.generate(**inputs, max_new_tokens=64, do_sample=False,
37
+ use_cache=True, pad_token_id=tokenizer.eos_token_id)
38
+ print(tokenizer.decode(output[0], skip_special_tokens=False))
39
+ ```
40
+
Keen-qwen4b-20b/checkpoint-13449/config.json ADDED
@@ -0,0 +1,83 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3_5ForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "attn_output_gate": true,
8
+ "bos_token_id": null,
9
+ "dtype": "bfloat16",
10
+ "eos_token_id": 248044,
11
+ "full_attention_interval": 4,
12
+ "head_dim": 256,
13
+ "hidden_act": "silu",
14
+ "hidden_size": 2560,
15
+ "initializer_range": 0.02,
16
+ "intermediate_size": 9216,
17
+ "layer_types": [
18
+ "linear_attention",
19
+ "linear_attention",
20
+ "linear_attention",
21
+ "full_attention",
22
+ "linear_attention",
23
+ "linear_attention",
24
+ "linear_attention",
25
+ "full_attention",
26
+ "linear_attention",
27
+ "linear_attention",
28
+ "linear_attention",
29
+ "full_attention",
30
+ "linear_attention",
31
+ "linear_attention",
32
+ "linear_attention",
33
+ "full_attention",
34
+ "linear_attention",
35
+ "linear_attention",
36
+ "linear_attention",
37
+ "full_attention",
38
+ "linear_attention",
39
+ "linear_attention",
40
+ "linear_attention",
41
+ "full_attention",
42
+ "linear_attention",
43
+ "linear_attention",
44
+ "linear_attention",
45
+ "full_attention",
46
+ "linear_attention",
47
+ "linear_attention",
48
+ "linear_attention",
49
+ "full_attention"
50
+ ],
51
+ "linear_conv_kernel_dim": 4,
52
+ "linear_key_head_dim": 128,
53
+ "linear_num_key_heads": 16,
54
+ "linear_num_value_heads": 32,
55
+ "linear_value_head_dim": 128,
56
+ "mamba_ssm_dtype": "float32",
57
+ "max_position_embeddings": 262144,
58
+ "mlp_only_layers": [],
59
+ "model_type": "qwen3_5_text",
60
+ "mtp_num_hidden_layers": 1,
61
+ "mtp_use_dedicated_embeddings": false,
62
+ "num_attention_heads": 16,
63
+ "num_hidden_layers": 32,
64
+ "num_key_value_heads": 4,
65
+ "pad_token_id": 248044,
66
+ "partial_rotary_factor": 0.25,
67
+ "rms_norm_eps": 1e-06,
68
+ "rope_parameters": {
69
+ "mrope_interleaved": true,
70
+ "mrope_section": [
71
+ 11,
72
+ 11,
73
+ 10
74
+ ],
75
+ "partial_rotary_factor": 0.25,
76
+ "rope_theta": 10000000,
77
+ "rope_type": "default"
78
+ },
79
+ "tie_word_embeddings": true,
80
+ "transformers_version": "5.6.2",
81
+ "use_cache": true,
82
+ "vocab_size": 248320
83
+ }
Keen-qwen4b-20b/checkpoint-13449/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "eos_token_id": 248044,
4
+ "output_attentions": false,
5
+ "output_hidden_states": false,
6
+ "pad_token_id": 248044,
7
+ "transformers_version": "5.6.2",
8
+ "use_cache": true
9
+ }
Keen-qwen4b-20b/checkpoint-13449/tokenizer_config.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "audio_bos_token": "<|audio_start|>",
4
+ "audio_eos_token": "<|audio_end|>",
5
+ "audio_token": "<|audio_pad|>",
6
+ "backend": "tokenizers",
7
+ "bos_token": null,
8
+ "clean_up_tokenization_spaces": false,
9
+ "eos_token": "<|endoftext|>",
10
+ "errors": "replace",
11
+ "extra_special_tokens": [
12
+ "<|im_start|>",
13
+ "<|im_end|>",
14
+ "<|object_ref_start|>",
15
+ "<|object_ref_end|>",
16
+ "<|box_start|>",
17
+ "<|box_end|>",
18
+ "<|quad_start|>",
19
+ "<|quad_end|>",
20
+ "<|vision_start|>",
21
+ "<|vision_end|>",
22
+ "<|vision_pad|>",
23
+ "<|image_pad|>",
24
+ "<|video_pad|>",
25
+ "<fact>",
26
+ "</fact>"
27
+ ],
28
+ "image_token": "<|image_pad|>",
29
+ "model_max_length": 32768,
30
+ "model_specific_special_tokens": {
31
+ "audio_bos_token": "<|audio_start|>",
32
+ "audio_eos_token": "<|audio_end|>",
33
+ "audio_token": "<|audio_pad|>",
34
+ "image_token": "<|image_pad|>",
35
+ "video_token": "<|video_pad|>",
36
+ "vision_bos_token": "<|vision_start|>",
37
+ "vision_eos_token": "<|vision_end|>"
38
+ },
39
+ "pad_token": "<|endoftext|>",
40
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
41
+ "split_special_tokens": false,
42
+ "tokenizer_class": "Qwen2Tokenizer",
43
+ "unk_token": null,
44
+ "video_token": "<|video_pad|>",
45
+ "vision_bos_token": "<|vision_start|>",
46
+ "vision_eos_token": "<|vision_end|>"
47
+ }
Keen-qwen4b-20b/checkpoint-15698/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Keen-qwen4b-20b: checkpoint-15698
2
+
3
+ Text-only Qwen3.5-4B architecture, trained from random initialization.
4
+ This is a base pretraining checkpoint, not an instruction-tuned chat model.
5
+ Training used 4,096-token packs with document-isolated attention.
6
+ The larger positional limit in the architecture configuration does not imply
7
+ validated long-context capability beyond the training context.
8
+
9
+ - Optimizer step: 15698
10
+ - Cumulative body tokens: 14,000,083,680
11
+ - Parameters: 4,205,751,296
12
+ - Precision: BF16
13
+ - Special document-end token: `<|endoftext|>`
14
+
15
+ Keen conditions passage reconstruction on `<fact>entity list</fact>`; the prefix participates in attention but is excluded from the training loss.
16
+
17
+ Use Transformers 5.6.2 (the training/evaluation version) with its native
18
+ `Qwen3_5ForCausalLM` implementation. Install PyTorch and Accelerate for GPU loading.
19
+ No remote custom model code is required. Use plain text prompts rather than a
20
+ chat template. Inference caching is enabled in the released configuration;
21
+ weights and tokenizer vocabulary are unchanged.
22
+
23
+ ```python
24
+ import torch
25
+ from transformers import AutoModelForCausalLM, AutoTokenizer
26
+
27
+ repo = "meihant/AnonymousModel-mht"
28
+ subfolder = "Keen-qwen4b-20b/checkpoint-15698"
29
+ tokenizer = AutoTokenizer.from_pretrained(repo, subfolder=subfolder)
30
+ model = AutoModelForCausalLM.from_pretrained(
31
+ repo, subfolder=subfolder, dtype=torch.bfloat16,
32
+ device_map="auto", attn_implementation="eager",
33
+ ).eval()
34
+ inputs = tokenizer("<fact>Paris, France</fact>\nParis", return_tensors="pt").to(model.device)
35
+ with torch.inference_mode():
36
+ output = model.generate(**inputs, max_new_tokens=64, do_sample=False,
37
+ use_cache=True, pad_token_id=tokenizer.eos_token_id)
38
+ print(tokenizer.decode(output[0], skip_special_tokens=False))
39
+ ```
40
+
Keen-qwen4b-20b/checkpoint-15698/config.json ADDED
@@ -0,0 +1,83 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3_5ForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "attn_output_gate": true,
8
+ "bos_token_id": null,
9
+ "dtype": "bfloat16",
10
+ "eos_token_id": 248044,
11
+ "full_attention_interval": 4,
12
+ "head_dim": 256,
13
+ "hidden_act": "silu",
14
+ "hidden_size": 2560,
15
+ "initializer_range": 0.02,
16
+ "intermediate_size": 9216,
17
+ "layer_types": [
18
+ "linear_attention",
19
+ "linear_attention",
20
+ "linear_attention",
21
+ "full_attention",
22
+ "linear_attention",
23
+ "linear_attention",
24
+ "linear_attention",
25
+ "full_attention",
26
+ "linear_attention",
27
+ "linear_attention",
28
+ "linear_attention",
29
+ "full_attention",
30
+ "linear_attention",
31
+ "linear_attention",
32
+ "linear_attention",
33
+ "full_attention",
34
+ "linear_attention",
35
+ "linear_attention",
36
+ "linear_attention",
37
+ "full_attention",
38
+ "linear_attention",
39
+ "linear_attention",
40
+ "linear_attention",
41
+ "full_attention",
42
+ "linear_attention",
43
+ "linear_attention",
44
+ "linear_attention",
45
+ "full_attention",
46
+ "linear_attention",
47
+ "linear_attention",
48
+ "linear_attention",
49
+ "full_attention"
50
+ ],
51
+ "linear_conv_kernel_dim": 4,
52
+ "linear_key_head_dim": 128,
53
+ "linear_num_key_heads": 16,
54
+ "linear_num_value_heads": 32,
55
+ "linear_value_head_dim": 128,
56
+ "mamba_ssm_dtype": "float32",
57
+ "max_position_embeddings": 262144,
58
+ "mlp_only_layers": [],
59
+ "model_type": "qwen3_5_text",
60
+ "mtp_num_hidden_layers": 1,
61
+ "mtp_use_dedicated_embeddings": false,
62
+ "num_attention_heads": 16,
63
+ "num_hidden_layers": 32,
64
+ "num_key_value_heads": 4,
65
+ "pad_token_id": 248044,
66
+ "partial_rotary_factor": 0.25,
67
+ "rms_norm_eps": 1e-06,
68
+ "rope_parameters": {
69
+ "mrope_interleaved": true,
70
+ "mrope_section": [
71
+ 11,
72
+ 11,
73
+ 10
74
+ ],
75
+ "partial_rotary_factor": 0.25,
76
+ "rope_theta": 10000000,
77
+ "rope_type": "default"
78
+ },
79
+ "tie_word_embeddings": true,
80
+ "transformers_version": "5.6.2",
81
+ "use_cache": true,
82
+ "vocab_size": 248320
83
+ }
Keen-qwen4b-20b/checkpoint-15698/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "eos_token_id": 248044,
4
+ "output_attentions": false,
5
+ "output_hidden_states": false,
6
+ "pad_token_id": 248044,
7
+ "transformers_version": "5.6.2",
8
+ "use_cache": true
9
+ }
Keen-qwen4b-20b/checkpoint-15698/tokenizer_config.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "audio_bos_token": "<|audio_start|>",
4
+ "audio_eos_token": "<|audio_end|>",
5
+ "audio_token": "<|audio_pad|>",
6
+ "backend": "tokenizers",
7
+ "bos_token": null,
8
+ "clean_up_tokenization_spaces": false,
9
+ "eos_token": "<|endoftext|>",
10
+ "errors": "replace",
11
+ "extra_special_tokens": [
12
+ "<|im_start|>",
13
+ "<|im_end|>",
14
+ "<|object_ref_start|>",
15
+ "<|object_ref_end|>",
16
+ "<|box_start|>",
17
+ "<|box_end|>",
18
+ "<|quad_start|>",
19
+ "<|quad_end|>",
20
+ "<|vision_start|>",
21
+ "<|vision_end|>",
22
+ "<|vision_pad|>",
23
+ "<|image_pad|>",
24
+ "<|video_pad|>",
25
+ "<fact>",
26
+ "</fact>"
27
+ ],
28
+ "image_token": "<|image_pad|>",
29
+ "model_max_length": 32768,
30
+ "model_specific_special_tokens": {
31
+ "audio_bos_token": "<|audio_start|>",
32
+ "audio_eos_token": "<|audio_end|>",
33
+ "audio_token": "<|audio_pad|>",
34
+ "image_token": "<|image_pad|>",
35
+ "video_token": "<|video_pad|>",
36
+ "vision_bos_token": "<|vision_start|>",
37
+ "vision_eos_token": "<|vision_end|>"
38
+ },
39
+ "pad_token": "<|endoftext|>",
40
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
41
+ "split_special_tokens": false,
42
+ "tokenizer_class": "Qwen2Tokenizer",
43
+ "unk_token": null,
44
+ "video_token": "<|video_pad|>",
45
+ "vision_bos_token": "<|vision_start|>",
46
+ "vision_eos_token": "<|vision_end|>"
47
+ }
Keen-qwen4b-20b/checkpoint-17953/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Keen-qwen4b-20b: checkpoint-17953
2
+
3
+ Text-only Qwen3.5-4B architecture, trained from random initialization.
4
+ This is a base pretraining checkpoint, not an instruction-tuned chat model.
5
+ Training used 4,096-token packs with document-isolated attention.
6
+ The larger positional limit in the architecture configuration does not imply
7
+ validated long-context capability beyond the training context.
8
+
9
+ - Optimizer step: 17953
10
+ - Cumulative body tokens: 16,000,387,372
11
+ - Parameters: 4,205,751,296
12
+ - Precision: BF16
13
+ - Special document-end token: `<|endoftext|>`
14
+
15
+ Keen conditions passage reconstruction on `<fact>entity list</fact>`; the prefix participates in attention but is excluded from the training loss.
16
+
17
+ Use Transformers 5.6.2 (the training/evaluation version) with its native
18
+ `Qwen3_5ForCausalLM` implementation. Install PyTorch and Accelerate for GPU loading.
19
+ No remote custom model code is required. Use plain text prompts rather than a
20
+ chat template. Inference caching is enabled in the released configuration;
21
+ weights and tokenizer vocabulary are unchanged.
22
+
23
+ ```python
24
+ import torch
25
+ from transformers import AutoModelForCausalLM, AutoTokenizer
26
+
27
+ repo = "meihant/AnonymousModel-mht"
28
+ subfolder = "Keen-qwen4b-20b/checkpoint-17953"
29
+ tokenizer = AutoTokenizer.from_pretrained(repo, subfolder=subfolder)
30
+ model = AutoModelForCausalLM.from_pretrained(
31
+ repo, subfolder=subfolder, dtype=torch.bfloat16,
32
+ device_map="auto", attn_implementation="eager",
33
+ ).eval()
34
+ inputs = tokenizer("<fact>Paris, France</fact>\nParis", return_tensors="pt").to(model.device)
35
+ with torch.inference_mode():
36
+ output = model.generate(**inputs, max_new_tokens=64, do_sample=False,
37
+ use_cache=True, pad_token_id=tokenizer.eos_token_id)
38
+ print(tokenizer.decode(output[0], skip_special_tokens=False))
39
+ ```
40
+
Keen-qwen4b-20b/checkpoint-17953/config.json ADDED
@@ -0,0 +1,83 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3_5ForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "attn_output_gate": true,
8
+ "bos_token_id": null,
9
+ "dtype": "bfloat16",
10
+ "eos_token_id": 248044,
11
+ "full_attention_interval": 4,
12
+ "head_dim": 256,
13
+ "hidden_act": "silu",
14
+ "hidden_size": 2560,
15
+ "initializer_range": 0.02,
16
+ "intermediate_size": 9216,
17
+ "layer_types": [
18
+ "linear_attention",
19
+ "linear_attention",
20
+ "linear_attention",
21
+ "full_attention",
22
+ "linear_attention",
23
+ "linear_attention",
24
+ "linear_attention",
25
+ "full_attention",
26
+ "linear_attention",
27
+ "linear_attention",
28
+ "linear_attention",
29
+ "full_attention",
30
+ "linear_attention",
31
+ "linear_attention",
32
+ "linear_attention",
33
+ "full_attention",
34
+ "linear_attention",
35
+ "linear_attention",
36
+ "linear_attention",
37
+ "full_attention",
38
+ "linear_attention",
39
+ "linear_attention",
40
+ "linear_attention",
41
+ "full_attention",
42
+ "linear_attention",
43
+ "linear_attention",
44
+ "linear_attention",
45
+ "full_attention",
46
+ "linear_attention",
47
+ "linear_attention",
48
+ "linear_attention",
49
+ "full_attention"
50
+ ],
51
+ "linear_conv_kernel_dim": 4,
52
+ "linear_key_head_dim": 128,
53
+ "linear_num_key_heads": 16,
54
+ "linear_num_value_heads": 32,
55
+ "linear_value_head_dim": 128,
56
+ "mamba_ssm_dtype": "float32",
57
+ "max_position_embeddings": 262144,
58
+ "mlp_only_layers": [],
59
+ "model_type": "qwen3_5_text",
60
+ "mtp_num_hidden_layers": 1,
61
+ "mtp_use_dedicated_embeddings": false,
62
+ "num_attention_heads": 16,
63
+ "num_hidden_layers": 32,
64
+ "num_key_value_heads": 4,
65
+ "pad_token_id": 248044,
66
+ "partial_rotary_factor": 0.25,
67
+ "rms_norm_eps": 1e-06,
68
+ "rope_parameters": {
69
+ "mrope_interleaved": true,
70
+ "mrope_section": [
71
+ 11,
72
+ 11,
73
+ 10
74
+ ],
75
+ "partial_rotary_factor": 0.25,
76
+ "rope_theta": 10000000,
77
+ "rope_type": "default"
78
+ },
79
+ "tie_word_embeddings": true,
80
+ "transformers_version": "5.6.2",
81
+ "use_cache": true,
82
+ "vocab_size": 248320
83
+ }
Keen-qwen4b-20b/checkpoint-17953/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "eos_token_id": 248044,
4
+ "output_attentions": false,
5
+ "output_hidden_states": false,
6
+ "pad_token_id": 248044,
7
+ "transformers_version": "5.6.2",
8
+ "use_cache": true
9
+ }
Keen-qwen4b-20b/checkpoint-17953/tokenizer_config.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "audio_bos_token": "<|audio_start|>",
4
+ "audio_eos_token": "<|audio_end|>",
5
+ "audio_token": "<|audio_pad|>",
6
+ "backend": "tokenizers",
7
+ "bos_token": null,
8
+ "clean_up_tokenization_spaces": false,
9
+ "eos_token": "<|endoftext|>",
10
+ "errors": "replace",
11
+ "extra_special_tokens": [
12
+ "<|im_start|>",
13
+ "<|im_end|>",
14
+ "<|object_ref_start|>",
15
+ "<|object_ref_end|>",
16
+ "<|box_start|>",
17
+ "<|box_end|>",
18
+ "<|quad_start|>",
19
+ "<|quad_end|>",
20
+ "<|vision_start|>",
21
+ "<|vision_end|>",
22
+ "<|vision_pad|>",
23
+ "<|image_pad|>",
24
+ "<|video_pad|>",
25
+ "<fact>",
26
+ "</fact>"
27
+ ],
28
+ "image_token": "<|image_pad|>",
29
+ "model_max_length": 32768,
30
+ "model_specific_special_tokens": {
31
+ "audio_bos_token": "<|audio_start|>",
32
+ "audio_eos_token": "<|audio_end|>",
33
+ "audio_token": "<|audio_pad|>",
34
+ "image_token": "<|image_pad|>",
35
+ "video_token": "<|video_pad|>",
36
+ "vision_bos_token": "<|vision_start|>",
37
+ "vision_eos_token": "<|vision_end|>"
38
+ },
39
+ "pad_token": "<|endoftext|>",
40
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
41
+ "split_special_tokens": false,
42
+ "tokenizer_class": "Qwen2Tokenizer",
43
+ "unk_token": null,
44
+ "video_token": "<|video_pad|>",
45
+ "vision_bos_token": "<|vision_start|>",
46
+ "vision_eos_token": "<|vision_end|>"
47
+ }
Keen-qwen4b-20b/checkpoint-20218/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Keen-qwen4b-20b: checkpoint-20218
2
+
3
+ Text-only Qwen3.5-4B architecture, trained from random initialization.
4
+ This is a base pretraining checkpoint, not an instruction-tuned chat model.
5
+ Training used 4,096-token packs with document-isolated attention.
6
+ The larger positional limit in the architecture configuration does not imply
7
+ validated long-context capability beyond the training context.
8
+
9
+ - Optimizer step: 20218
10
+ - Cumulative body tokens: 18,000,030,679
11
+ - Parameters: 4,205,751,296
12
+ - Precision: BF16
13
+ - Special document-end token: `<|endoftext|>`
14
+
15
+ Keen conditions passage reconstruction on `<fact>entity list</fact>`; the prefix participates in attention but is excluded from the training loss.
16
+
17
+ Use Transformers 5.6.2 (the training/evaluation version) with its native
18
+ `Qwen3_5ForCausalLM` implementation. Install PyTorch and Accelerate for GPU loading.
19
+ No remote custom model code is required. Use plain text prompts rather than a
20
+ chat template. Inference caching is enabled in the released configuration;
21
+ weights and tokenizer vocabulary are unchanged.
22
+
23
+ ```python
24
+ import torch
25
+ from transformers import AutoModelForCausalLM, AutoTokenizer
26
+
27
+ repo = "meihant/AnonymousModel-mht"
28
+ subfolder = "Keen-qwen4b-20b/checkpoint-20218"
29
+ tokenizer = AutoTokenizer.from_pretrained(repo, subfolder=subfolder)
30
+ model = AutoModelForCausalLM.from_pretrained(
31
+ repo, subfolder=subfolder, dtype=torch.bfloat16,
32
+ device_map="auto", attn_implementation="eager",
33
+ ).eval()
34
+ inputs = tokenizer("<fact>Paris, France</fact>\nParis", return_tensors="pt").to(model.device)
35
+ with torch.inference_mode():
36
+ output = model.generate(**inputs, max_new_tokens=64, do_sample=False,
37
+ use_cache=True, pad_token_id=tokenizer.eos_token_id)
38
+ print(tokenizer.decode(output[0], skip_special_tokens=False))
39
+ ```
40
+
Keen-qwen4b-20b/checkpoint-20218/config.json ADDED
@@ -0,0 +1,83 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3_5ForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "attn_output_gate": true,
8
+ "bos_token_id": null,
9
+ "dtype": "bfloat16",
10
+ "eos_token_id": 248044,
11
+ "full_attention_interval": 4,
12
+ "head_dim": 256,
13
+ "hidden_act": "silu",
14
+ "hidden_size": 2560,
15
+ "initializer_range": 0.02,
16
+ "intermediate_size": 9216,
17
+ "layer_types": [
18
+ "linear_attention",
19
+ "linear_attention",
20
+ "linear_attention",
21
+ "full_attention",
22
+ "linear_attention",
23
+ "linear_attention",
24
+ "linear_attention",
25
+ "full_attention",
26
+ "linear_attention",
27
+ "linear_attention",
28
+ "linear_attention",
29
+ "full_attention",
30
+ "linear_attention",
31
+ "linear_attention",
32
+ "linear_attention",
33
+ "full_attention",
34
+ "linear_attention",
35
+ "linear_attention",
36
+ "linear_attention",
37
+ "full_attention",
38
+ "linear_attention",
39
+ "linear_attention",
40
+ "linear_attention",
41
+ "full_attention",
42
+ "linear_attention",
43
+ "linear_attention",
44
+ "linear_attention",
45
+ "full_attention",
46
+ "linear_attention",
47
+ "linear_attention",
48
+ "linear_attention",
49
+ "full_attention"
50
+ ],
51
+ "linear_conv_kernel_dim": 4,
52
+ "linear_key_head_dim": 128,
53
+ "linear_num_key_heads": 16,
54
+ "linear_num_value_heads": 32,
55
+ "linear_value_head_dim": 128,
56
+ "mamba_ssm_dtype": "float32",
57
+ "max_position_embeddings": 262144,
58
+ "mlp_only_layers": [],
59
+ "model_type": "qwen3_5_text",
60
+ "mtp_num_hidden_layers": 1,
61
+ "mtp_use_dedicated_embeddings": false,
62
+ "num_attention_heads": 16,
63
+ "num_hidden_layers": 32,
64
+ "num_key_value_heads": 4,
65
+ "pad_token_id": 248044,
66
+ "partial_rotary_factor": 0.25,
67
+ "rms_norm_eps": 1e-06,
68
+ "rope_parameters": {
69
+ "mrope_interleaved": true,
70
+ "mrope_section": [
71
+ 11,
72
+ 11,
73
+ 10
74
+ ],
75
+ "partial_rotary_factor": 0.25,
76
+ "rope_theta": 10000000,
77
+ "rope_type": "default"
78
+ },
79
+ "tie_word_embeddings": true,
80
+ "transformers_version": "5.6.2",
81
+ "use_cache": true,
82
+ "vocab_size": 248320
83
+ }
Keen-qwen4b-20b/checkpoint-20218/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "eos_token_id": 248044,
4
+ "output_attentions": false,
5
+ "output_hidden_states": false,
6
+ "pad_token_id": 248044,
7
+ "transformers_version": "5.6.2",
8
+ "use_cache": true
9
+ }
Keen-qwen4b-20b/checkpoint-20218/tokenizer_config.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "audio_bos_token": "<|audio_start|>",
4
+ "audio_eos_token": "<|audio_end|>",
5
+ "audio_token": "<|audio_pad|>",
6
+ "backend": "tokenizers",
7
+ "bos_token": null,
8
+ "clean_up_tokenization_spaces": false,
9
+ "eos_token": "<|endoftext|>",
10
+ "errors": "replace",
11
+ "extra_special_tokens": [
12
+ "<|im_start|>",
13
+ "<|im_end|>",
14
+ "<|object_ref_start|>",
15
+ "<|object_ref_end|>",
16
+ "<|box_start|>",
17
+ "<|box_end|>",
18
+ "<|quad_start|>",
19
+ "<|quad_end|>",
20
+ "<|vision_start|>",
21
+ "<|vision_end|>",
22
+ "<|vision_pad|>",
23
+ "<|image_pad|>",
24
+ "<|video_pad|>",
25
+ "<fact>",
26
+ "</fact>"
27
+ ],
28
+ "image_token": "<|image_pad|>",
29
+ "model_max_length": 32768,
30
+ "model_specific_special_tokens": {
31
+ "audio_bos_token": "<|audio_start|>",
32
+ "audio_eos_token": "<|audio_end|>",
33
+ "audio_token": "<|audio_pad|>",
34
+ "image_token": "<|image_pad|>",
35
+ "video_token": "<|video_pad|>",
36
+ "vision_bos_token": "<|vision_start|>",
37
+ "vision_eos_token": "<|vision_end|>"
38
+ },
39
+ "pad_token": "<|endoftext|>",
40
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
41
+ "split_special_tokens": false,
42
+ "tokenizer_class": "Qwen2Tokenizer",
43
+ "unk_token": null,
44
+ "video_token": "<|video_pad|>",
45
+ "vision_bos_token": "<|vision_start|>",
46
+ "vision_eos_token": "<|vision_end|>"
47
+ }
Keen-qwen4b-20b/checkpoint-22478/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Keen-qwen4b-20b: checkpoint-22478
2
+
3
+ Text-only Qwen3.5-4B architecture, trained from random initialization.
4
+ This is a base pretraining checkpoint, not an instruction-tuned chat model.
5
+ Training used 4,096-token packs with document-isolated attention.
6
+ The larger positional limit in the architecture configuration does not imply
7
+ validated long-context capability beyond the training context.
8
+
9
+ - Optimizer step: 22478
10
+ - Cumulative body tokens: 20,000,557,588
11
+ - Parameters: 4,205,751,296
12
+ - Precision: BF16
13
+ - Special document-end token: `<|endoftext|>`
14
+
15
+ Keen conditions passage reconstruction on `<fact>entity list</fact>`; the prefix participates in attention but is excluded from the training loss.
16
+
17
+ Use Transformers 5.6.2 (the training/evaluation version) with its native
18
+ `Qwen3_5ForCausalLM` implementation. Install PyTorch and Accelerate for GPU loading.
19
+ No remote custom model code is required. Use plain text prompts rather than a
20
+ chat template. Inference caching is enabled in the released configuration;
21
+ weights and tokenizer vocabulary are unchanged.
22
+
23
+ ```python
24
+ import torch
25
+ from transformers import AutoModelForCausalLM, AutoTokenizer
26
+
27
+ repo = "meihant/AnonymousModel-mht"
28
+ subfolder = "Keen-qwen4b-20b/checkpoint-22478"
29
+ tokenizer = AutoTokenizer.from_pretrained(repo, subfolder=subfolder)
30
+ model = AutoModelForCausalLM.from_pretrained(
31
+ repo, subfolder=subfolder, dtype=torch.bfloat16,
32
+ device_map="auto", attn_implementation="eager",
33
+ ).eval()
34
+ inputs = tokenizer("<fact>Paris, France</fact>\nParis", return_tensors="pt").to(model.device)
35
+ with torch.inference_mode():
36
+ output = model.generate(**inputs, max_new_tokens=64, do_sample=False,
37
+ use_cache=True, pad_token_id=tokenizer.eos_token_id)
38
+ print(tokenizer.decode(output[0], skip_special_tokens=False))
39
+ ```
40
+
Keen-qwen4b-20b/checkpoint-22478/config.json ADDED
@@ -0,0 +1,83 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3_5ForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "attn_output_gate": true,
8
+ "bos_token_id": null,
9
+ "dtype": "bfloat16",
10
+ "eos_token_id": 248044,
11
+ "full_attention_interval": 4,
12
+ "head_dim": 256,
13
+ "hidden_act": "silu",
14
+ "hidden_size": 2560,
15
+ "initializer_range": 0.02,
16
+ "intermediate_size": 9216,
17
+ "layer_types": [
18
+ "linear_attention",
19
+ "linear_attention",
20
+ "linear_attention",
21
+ "full_attention",
22
+ "linear_attention",
23
+ "linear_attention",
24
+ "linear_attention",
25
+ "full_attention",
26
+ "linear_attention",
27
+ "linear_attention",
28
+ "linear_attention",
29
+ "full_attention",
30
+ "linear_attention",
31
+ "linear_attention",
32
+ "linear_attention",
33
+ "full_attention",
34
+ "linear_attention",
35
+ "linear_attention",
36
+ "linear_attention",
37
+ "full_attention",
38
+ "linear_attention",
39
+ "linear_attention",
40
+ "linear_attention",
41
+ "full_attention",
42
+ "linear_attention",
43
+ "linear_attention",
44
+ "linear_attention",
45
+ "full_attention",
46
+ "linear_attention",
47
+ "linear_attention",
48
+ "linear_attention",
49
+ "full_attention"
50
+ ],
51
+ "linear_conv_kernel_dim": 4,
52
+ "linear_key_head_dim": 128,
53
+ "linear_num_key_heads": 16,
54
+ "linear_num_value_heads": 32,
55
+ "linear_value_head_dim": 128,
56
+ "mamba_ssm_dtype": "float32",
57
+ "max_position_embeddings": 262144,
58
+ "mlp_only_layers": [],
59
+ "model_type": "qwen3_5_text",
60
+ "mtp_num_hidden_layers": 1,
61
+ "mtp_use_dedicated_embeddings": false,
62
+ "num_attention_heads": 16,
63
+ "num_hidden_layers": 32,
64
+ "num_key_value_heads": 4,
65
+ "pad_token_id": 248044,
66
+ "partial_rotary_factor": 0.25,
67
+ "rms_norm_eps": 1e-06,
68
+ "rope_parameters": {
69
+ "mrope_interleaved": true,
70
+ "mrope_section": [
71
+ 11,
72
+ 11,
73
+ 10
74
+ ],
75
+ "partial_rotary_factor": 0.25,
76
+ "rope_theta": 10000000,
77
+ "rope_type": "default"
78
+ },
79
+ "tie_word_embeddings": true,
80
+ "transformers_version": "5.6.2",
81
+ "use_cache": true,
82
+ "vocab_size": 248320
83
+ }
Keen-qwen4b-20b/checkpoint-22478/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "eos_token_id": 248044,
4
+ "output_attentions": false,
5
+ "output_hidden_states": false,
6
+ "pad_token_id": 248044,
7
+ "transformers_version": "5.6.2",
8
+ "use_cache": true
9
+ }
Keen-qwen4b-20b/checkpoint-22478/tokenizer_config.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "audio_bos_token": "<|audio_start|>",
4
+ "audio_eos_token": "<|audio_end|>",
5
+ "audio_token": "<|audio_pad|>",
6
+ "backend": "tokenizers",
7
+ "bos_token": null,
8
+ "clean_up_tokenization_spaces": false,
9
+ "eos_token": "<|endoftext|>",
10
+ "errors": "replace",
11
+ "extra_special_tokens": [
12
+ "<|im_start|>",
13
+ "<|im_end|>",
14
+ "<|object_ref_start|>",
15
+ "<|object_ref_end|>",
16
+ "<|box_start|>",
17
+ "<|box_end|>",
18
+ "<|quad_start|>",
19
+ "<|quad_end|>",
20
+ "<|vision_start|>",
21
+ "<|vision_end|>",
22
+ "<|vision_pad|>",
23
+ "<|image_pad|>",
24
+ "<|video_pad|>",
25
+ "<fact>",
26
+ "</fact>"
27
+ ],
28
+ "image_token": "<|image_pad|>",
29
+ "model_max_length": 32768,
30
+ "model_specific_special_tokens": {
31
+ "audio_bos_token": "<|audio_start|>",
32
+ "audio_eos_token": "<|audio_end|>",
33
+ "audio_token": "<|audio_pad|>",
34
+ "image_token": "<|image_pad|>",
35
+ "video_token": "<|video_pad|>",
36
+ "vision_bos_token": "<|vision_start|>",
37
+ "vision_eos_token": "<|vision_end|>"
38
+ },
39
+ "pad_token": "<|endoftext|>",
40
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
41
+ "split_special_tokens": false,
42
+ "tokenizer_class": "Qwen2Tokenizer",
43
+ "unk_token": null,
44
+ "video_token": "<|video_pad|>",
45
+ "vision_bos_token": "<|vision_start|>",
46
+ "vision_eos_token": "<|vision_end|>"
47
+ }
Keen-qwen4b-20b/checkpoint-2253/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Keen-qwen4b-20b: checkpoint-2253
2
+
3
+ Text-only Qwen3.5-4B architecture, trained from random initialization.
4
+ This is a base pretraining checkpoint, not an instruction-tuned chat model.
5
+ Training used 4,096-token packs with document-isolated attention.
6
+ The larger positional limit in the architecture configuration does not imply
7
+ validated long-context capability beyond the training context.
8
+
9
+ - Optimizer step: 2253
10
+ - Cumulative body tokens: 2,000,696,711
11
+ - Parameters: 4,205,751,296
12
+ - Precision: BF16
13
+ - Special document-end token: `<|endoftext|>`
14
+
15
+ Keen conditions passage reconstruction on `<fact>entity list</fact>`; the prefix participates in attention but is excluded from the training loss.
16
+
17
+ Use Transformers 5.6.2 (the training/evaluation version) with its native
18
+ `Qwen3_5ForCausalLM` implementation. Install PyTorch and Accelerate for GPU loading.
19
+ No remote custom model code is required. Use plain text prompts rather than a
20
+ chat template. Inference caching is enabled in the released configuration;
21
+ weights and tokenizer vocabulary are unchanged.
22
+
23
+ ```python
24
+ import torch
25
+ from transformers import AutoModelForCausalLM, AutoTokenizer
26
+
27
+ repo = "meihant/AnonymousModel-mht"
28
+ subfolder = "Keen-qwen4b-20b/checkpoint-2253"
29
+ tokenizer = AutoTokenizer.from_pretrained(repo, subfolder=subfolder)
30
+ model = AutoModelForCausalLM.from_pretrained(
31
+ repo, subfolder=subfolder, dtype=torch.bfloat16,
32
+ device_map="auto", attn_implementation="eager",
33
+ ).eval()
34
+ inputs = tokenizer("<fact>Paris, France</fact>\nParis", return_tensors="pt").to(model.device)
35
+ with torch.inference_mode():
36
+ output = model.generate(**inputs, max_new_tokens=64, do_sample=False,
37
+ use_cache=True, pad_token_id=tokenizer.eos_token_id)
38
+ print(tokenizer.decode(output[0], skip_special_tokens=False))
39
+ ```
40
+
Keen-qwen4b-20b/checkpoint-2253/config.json ADDED
@@ -0,0 +1,83 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3_5ForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "attn_output_gate": true,
8
+ "bos_token_id": null,
9
+ "dtype": "bfloat16",
10
+ "eos_token_id": 248044,
11
+ "full_attention_interval": 4,
12
+ "head_dim": 256,
13
+ "hidden_act": "silu",
14
+ "hidden_size": 2560,
15
+ "initializer_range": 0.02,
16
+ "intermediate_size": 9216,
17
+ "layer_types": [
18
+ "linear_attention",
19
+ "linear_attention",
20
+ "linear_attention",
21
+ "full_attention",
22
+ "linear_attention",
23
+ "linear_attention",
24
+ "linear_attention",
25
+ "full_attention",
26
+ "linear_attention",
27
+ "linear_attention",
28
+ "linear_attention",
29
+ "full_attention",
30
+ "linear_attention",
31
+ "linear_attention",
32
+ "linear_attention",
33
+ "full_attention",
34
+ "linear_attention",
35
+ "linear_attention",
36
+ "linear_attention",
37
+ "full_attention",
38
+ "linear_attention",
39
+ "linear_attention",
40
+ "linear_attention",
41
+ "full_attention",
42
+ "linear_attention",
43
+ "linear_attention",
44
+ "linear_attention",
45
+ "full_attention",
46
+ "linear_attention",
47
+ "linear_attention",
48
+ "linear_attention",
49
+ "full_attention"
50
+ ],
51
+ "linear_conv_kernel_dim": 4,
52
+ "linear_key_head_dim": 128,
53
+ "linear_num_key_heads": 16,
54
+ "linear_num_value_heads": 32,
55
+ "linear_value_head_dim": 128,
56
+ "mamba_ssm_dtype": "float32",
57
+ "max_position_embeddings": 262144,
58
+ "mlp_only_layers": [],
59
+ "model_type": "qwen3_5_text",
60
+ "mtp_num_hidden_layers": 1,
61
+ "mtp_use_dedicated_embeddings": false,
62
+ "num_attention_heads": 16,
63
+ "num_hidden_layers": 32,
64
+ "num_key_value_heads": 4,
65
+ "pad_token_id": 248044,
66
+ "partial_rotary_factor": 0.25,
67
+ "rms_norm_eps": 1e-06,
68
+ "rope_parameters": {
69
+ "mrope_interleaved": true,
70
+ "mrope_section": [
71
+ 11,
72
+ 11,
73
+ 10
74
+ ],
75
+ "partial_rotary_factor": 0.25,
76
+ "rope_theta": 10000000,
77
+ "rope_type": "default"
78
+ },
79
+ "tie_word_embeddings": true,
80
+ "transformers_version": "5.6.2",
81
+ "use_cache": true,
82
+ "vocab_size": 248320
83
+ }
Keen-qwen4b-20b/checkpoint-2253/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "eos_token_id": 248044,
4
+ "output_attentions": false,
5
+ "output_hidden_states": false,
6
+ "pad_token_id": 248044,
7
+ "transformers_version": "5.6.2",
8
+ "use_cache": true
9
+ }
Keen-qwen4b-20b/checkpoint-2253/tokenizer_config.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "audio_bos_token": "<|audio_start|>",
4
+ "audio_eos_token": "<|audio_end|>",
5
+ "audio_token": "<|audio_pad|>",
6
+ "backend": "tokenizers",
7
+ "bos_token": null,
8
+ "clean_up_tokenization_spaces": false,
9
+ "eos_token": "<|endoftext|>",
10
+ "errors": "replace",
11
+ "extra_special_tokens": [
12
+ "<|im_start|>",
13
+ "<|im_end|>",
14
+ "<|object_ref_start|>",
15
+ "<|object_ref_end|>",
16
+ "<|box_start|>",
17
+ "<|box_end|>",
18
+ "<|quad_start|>",
19
+ "<|quad_end|>",
20
+ "<|vision_start|>",
21
+ "<|vision_end|>",
22
+ "<|vision_pad|>",
23
+ "<|image_pad|>",
24
+ "<|video_pad|>",
25
+ "<fact>",
26
+ "</fact>"
27
+ ],
28
+ "image_token": "<|image_pad|>",
29
+ "model_max_length": 32768,
30
+ "model_specific_special_tokens": {
31
+ "audio_bos_token": "<|audio_start|>",
32
+ "audio_eos_token": "<|audio_end|>",
33
+ "audio_token": "<|audio_pad|>",
34
+ "image_token": "<|image_pad|>",
35
+ "video_token": "<|video_pad|>",
36
+ "vision_bos_token": "<|vision_start|>",
37
+ "vision_eos_token": "<|vision_end|>"
38
+ },
39
+ "pad_token": "<|endoftext|>",
40
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
41
+ "split_special_tokens": false,
42
+ "tokenizer_class": "Qwen2Tokenizer",
43
+ "unk_token": null,
44
+ "video_token": "<|video_pad|>",
45
+ "vision_bos_token": "<|vision_start|>",
46
+ "vision_eos_token": "<|vision_end|>"
47
+ }
Keen-qwen4b-20b/checkpoint-4453/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Keen-qwen4b-20b: checkpoint-4453
2
+
3
+ Text-only Qwen3.5-4B architecture, trained from random initialization.
4
+ This is a base pretraining checkpoint, not an instruction-tuned chat model.
5
+ Training used 4,096-token packs with document-isolated attention.
6
+ The larger positional limit in the architecture configuration does not imply
7
+ validated long-context capability beyond the training context.
8
+
9
+ - Optimizer step: 4453
10
+ - Cumulative body tokens: 4,000,757,038
11
+ - Parameters: 4,205,751,296
12
+ - Precision: BF16
13
+ - Special document-end token: `<|endoftext|>`
14
+
15
+ Keen conditions passage reconstruction on `<fact>entity list</fact>`; the prefix participates in attention but is excluded from the training loss.
16
+
17
+ Use Transformers 5.6.2 (the training/evaluation version) with its native
18
+ `Qwen3_5ForCausalLM` implementation. Install PyTorch and Accelerate for GPU loading.
19
+ No remote custom model code is required. Use plain text prompts rather than a
20
+ chat template. Inference caching is enabled in the released configuration;
21
+ weights and tokenizer vocabulary are unchanged.
22
+
23
+ ```python
24
+ import torch
25
+ from transformers import AutoModelForCausalLM, AutoTokenizer
26
+
27
+ repo = "meihant/AnonymousModel-mht"
28
+ subfolder = "Keen-qwen4b-20b/checkpoint-4453"
29
+ tokenizer = AutoTokenizer.from_pretrained(repo, subfolder=subfolder)
30
+ model = AutoModelForCausalLM.from_pretrained(
31
+ repo, subfolder=subfolder, dtype=torch.bfloat16,
32
+ device_map="auto", attn_implementation="eager",
33
+ ).eval()
34
+ inputs = tokenizer("<fact>Paris, France</fact>\nParis", return_tensors="pt").to(model.device)
35
+ with torch.inference_mode():
36
+ output = model.generate(**inputs, max_new_tokens=64, do_sample=False,
37
+ use_cache=True, pad_token_id=tokenizer.eos_token_id)
38
+ print(tokenizer.decode(output[0], skip_special_tokens=False))
39
+ ```
40
+
Keen-qwen4b-20b/checkpoint-4453/config.json ADDED
@@ -0,0 +1,83 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3_5ForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "attn_output_gate": true,
8
+ "bos_token_id": null,
9
+ "dtype": "bfloat16",
10
+ "eos_token_id": 248044,
11
+ "full_attention_interval": 4,
12
+ "head_dim": 256,
13
+ "hidden_act": "silu",
14
+ "hidden_size": 2560,
15
+ "initializer_range": 0.02,
16
+ "intermediate_size": 9216,
17
+ "layer_types": [
18
+ "linear_attention",
19
+ "linear_attention",
20
+ "linear_attention",
21
+ "full_attention",
22
+ "linear_attention",
23
+ "linear_attention",
24
+ "linear_attention",
25
+ "full_attention",
26
+ "linear_attention",
27
+ "linear_attention",
28
+ "linear_attention",
29
+ "full_attention",
30
+ "linear_attention",
31
+ "linear_attention",
32
+ "linear_attention",
33
+ "full_attention",
34
+ "linear_attention",
35
+ "linear_attention",
36
+ "linear_attention",
37
+ "full_attention",
38
+ "linear_attention",
39
+ "linear_attention",
40
+ "linear_attention",
41
+ "full_attention",
42
+ "linear_attention",
43
+ "linear_attention",
44
+ "linear_attention",
45
+ "full_attention",
46
+ "linear_attention",
47
+ "linear_attention",
48
+ "linear_attention",
49
+ "full_attention"
50
+ ],
51
+ "linear_conv_kernel_dim": 4,
52
+ "linear_key_head_dim": 128,
53
+ "linear_num_key_heads": 16,
54
+ "linear_num_value_heads": 32,
55
+ "linear_value_head_dim": 128,
56
+ "mamba_ssm_dtype": "float32",
57
+ "max_position_embeddings": 262144,
58
+ "mlp_only_layers": [],
59
+ "model_type": "qwen3_5_text",
60
+ "mtp_num_hidden_layers": 1,
61
+ "mtp_use_dedicated_embeddings": false,
62
+ "num_attention_heads": 16,
63
+ "num_hidden_layers": 32,
64
+ "num_key_value_heads": 4,
65
+ "pad_token_id": 248044,
66
+ "partial_rotary_factor": 0.25,
67
+ "rms_norm_eps": 1e-06,
68
+ "rope_parameters": {
69
+ "mrope_interleaved": true,
70
+ "mrope_section": [
71
+ 11,
72
+ 11,
73
+ 10
74
+ ],
75
+ "partial_rotary_factor": 0.25,
76
+ "rope_theta": 10000000,
77
+ "rope_type": "default"
78
+ },
79
+ "tie_word_embeddings": true,
80
+ "transformers_version": "5.6.2",
81
+ "use_cache": true,
82
+ "vocab_size": 248320
83
+ }
Keen-qwen4b-20b/checkpoint-4453/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "eos_token_id": 248044,
4
+ "output_attentions": false,
5
+ "output_hidden_states": false,
6
+ "pad_token_id": 248044,
7
+ "transformers_version": "5.6.2",
8
+ "use_cache": true
9
+ }
Keen-qwen4b-20b/checkpoint-4453/tokenizer_config.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "audio_bos_token": "<|audio_start|>",
4
+ "audio_eos_token": "<|audio_end|>",
5
+ "audio_token": "<|audio_pad|>",
6
+ "backend": "tokenizers",
7
+ "bos_token": null,
8
+ "clean_up_tokenization_spaces": false,
9
+ "eos_token": "<|endoftext|>",
10
+ "errors": "replace",
11
+ "extra_special_tokens": [
12
+ "<|im_start|>",
13
+ "<|im_end|>",
14
+ "<|object_ref_start|>",
15
+ "<|object_ref_end|>",
16
+ "<|box_start|>",
17
+ "<|box_end|>",
18
+ "<|quad_start|>",
19
+ "<|quad_end|>",
20
+ "<|vision_start|>",
21
+ "<|vision_end|>",
22
+ "<|vision_pad|>",
23
+ "<|image_pad|>",
24
+ "<|video_pad|>",
25
+ "<fact>",
26
+ "</fact>"
27
+ ],
28
+ "image_token": "<|image_pad|>",
29
+ "model_max_length": 32768,
30
+ "model_specific_special_tokens": {
31
+ "audio_bos_token": "<|audio_start|>",
32
+ "audio_eos_token": "<|audio_end|>",
33
+ "audio_token": "<|audio_pad|>",
34
+ "image_token": "<|image_pad|>",
35
+ "video_token": "<|video_pad|>",
36
+ "vision_bos_token": "<|vision_start|>",
37
+ "vision_eos_token": "<|vision_end|>"
38
+ },
39
+ "pad_token": "<|endoftext|>",
40
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
41
+ "split_special_tokens": false,
42
+ "tokenizer_class": "Qwen2Tokenizer",
43
+ "unk_token": null,
44
+ "video_token": "<|video_pad|>",
45
+ "vision_bos_token": "<|vision_start|>",
46
+ "vision_eos_token": "<|vision_end|>"
47
+ }
Keen-qwen4b-20b/checkpoint-6701/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Keen-qwen4b-20b: checkpoint-6701
2
+
3
+ Text-only Qwen3.5-4B architecture, trained from random initialization.
4
+ This is a base pretraining checkpoint, not an instruction-tuned chat model.
5
+ Training used 4,096-token packs with document-isolated attention.
6
+ The larger positional limit in the architecture configuration does not imply
7
+ validated long-context capability beyond the training context.
8
+
9
+ - Optimizer step: 6701
10
+ - Cumulative body tokens: 6,000,082,648
11
+ - Parameters: 4,205,751,296
12
+ - Precision: BF16
13
+ - Special document-end token: `<|endoftext|>`
14
+
15
+ Keen conditions passage reconstruction on `<fact>entity list</fact>`; the prefix participates in attention but is excluded from the training loss.
16
+
17
+ Use Transformers 5.6.2 (the training/evaluation version) with its native
18
+ `Qwen3_5ForCausalLM` implementation. Install PyTorch and Accelerate for GPU loading.
19
+ No remote custom model code is required. Use plain text prompts rather than a
20
+ chat template. Inference caching is enabled in the released configuration;
21
+ weights and tokenizer vocabulary are unchanged.
22
+
23
+ ```python
24
+ import torch
25
+ from transformers import AutoModelForCausalLM, AutoTokenizer
26
+
27
+ repo = "meihant/AnonymousModel-mht"
28
+ subfolder = "Keen-qwen4b-20b/checkpoint-6701"
29
+ tokenizer = AutoTokenizer.from_pretrained(repo, subfolder=subfolder)
30
+ model = AutoModelForCausalLM.from_pretrained(
31
+ repo, subfolder=subfolder, dtype=torch.bfloat16,
32
+ device_map="auto", attn_implementation="eager",
33
+ ).eval()
34
+ inputs = tokenizer("<fact>Paris, France</fact>\nParis", return_tensors="pt").to(model.device)
35
+ with torch.inference_mode():
36
+ output = model.generate(**inputs, max_new_tokens=64, do_sample=False,
37
+ use_cache=True, pad_token_id=tokenizer.eos_token_id)
38
+ print(tokenizer.decode(output[0], skip_special_tokens=False))
39
+ ```
40
+
Keen-qwen4b-20b/checkpoint-6701/config.json ADDED
@@ -0,0 +1,83 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3_5ForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "attn_output_gate": true,
8
+ "bos_token_id": null,
9
+ "dtype": "bfloat16",
10
+ "eos_token_id": 248044,
11
+ "full_attention_interval": 4,
12
+ "head_dim": 256,
13
+ "hidden_act": "silu",
14
+ "hidden_size": 2560,
15
+ "initializer_range": 0.02,
16
+ "intermediate_size": 9216,
17
+ "layer_types": [
18
+ "linear_attention",
19
+ "linear_attention",
20
+ "linear_attention",
21
+ "full_attention",
22
+ "linear_attention",
23
+ "linear_attention",
24
+ "linear_attention",
25
+ "full_attention",
26
+ "linear_attention",
27
+ "linear_attention",
28
+ "linear_attention",
29
+ "full_attention",
30
+ "linear_attention",
31
+ "linear_attention",
32
+ "linear_attention",
33
+ "full_attention",
34
+ "linear_attention",
35
+ "linear_attention",
36
+ "linear_attention",
37
+ "full_attention",
38
+ "linear_attention",
39
+ "linear_attention",
40
+ "linear_attention",
41
+ "full_attention",
42
+ "linear_attention",
43
+ "linear_attention",
44
+ "linear_attention",
45
+ "full_attention",
46
+ "linear_attention",
47
+ "linear_attention",
48
+ "linear_attention",
49
+ "full_attention"
50
+ ],
51
+ "linear_conv_kernel_dim": 4,
52
+ "linear_key_head_dim": 128,
53
+ "linear_num_key_heads": 16,
54
+ "linear_num_value_heads": 32,
55
+ "linear_value_head_dim": 128,
56
+ "mamba_ssm_dtype": "float32",
57
+ "max_position_embeddings": 262144,
58
+ "mlp_only_layers": [],
59
+ "model_type": "qwen3_5_text",
60
+ "mtp_num_hidden_layers": 1,
61
+ "mtp_use_dedicated_embeddings": false,
62
+ "num_attention_heads": 16,
63
+ "num_hidden_layers": 32,
64
+ "num_key_value_heads": 4,
65
+ "pad_token_id": 248044,
66
+ "partial_rotary_factor": 0.25,
67
+ "rms_norm_eps": 1e-06,
68
+ "rope_parameters": {
69
+ "mrope_interleaved": true,
70
+ "mrope_section": [
71
+ 11,
72
+ 11,
73
+ 10
74
+ ],
75
+ "partial_rotary_factor": 0.25,
76
+ "rope_theta": 10000000,
77
+ "rope_type": "default"
78
+ },
79
+ "tie_word_embeddings": true,
80
+ "transformers_version": "5.6.2",
81
+ "use_cache": true,
82
+ "vocab_size": 248320
83
+ }
Keen-qwen4b-20b/checkpoint-6701/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "eos_token_id": 248044,
4
+ "output_attentions": false,
5
+ "output_hidden_states": false,
6
+ "pad_token_id": 248044,
7
+ "transformers_version": "5.6.2",
8
+ "use_cache": true
9
+ }
Keen-qwen4b-20b/checkpoint-6701/tokenizer_config.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "audio_bos_token": "<|audio_start|>",
4
+ "audio_eos_token": "<|audio_end|>",
5
+ "audio_token": "<|audio_pad|>",
6
+ "backend": "tokenizers",
7
+ "bos_token": null,
8
+ "clean_up_tokenization_spaces": false,
9
+ "eos_token": "<|endoftext|>",
10
+ "errors": "replace",
11
+ "extra_special_tokens": [
12
+ "<|im_start|>",
13
+ "<|im_end|>",
14
+ "<|object_ref_start|>",
15
+ "<|object_ref_end|>",
16
+ "<|box_start|>",
17
+ "<|box_end|>",
18
+ "<|quad_start|>",
19
+ "<|quad_end|>",
20
+ "<|vision_start|>",
21
+ "<|vision_end|>",
22
+ "<|vision_pad|>",
23
+ "<|image_pad|>",
24
+ "<|video_pad|>",
25
+ "<fact>",
26
+ "</fact>"
27
+ ],
28
+ "image_token": "<|image_pad|>",
29
+ "model_max_length": 32768,
30
+ "model_specific_special_tokens": {
31
+ "audio_bos_token": "<|audio_start|>",
32
+ "audio_eos_token": "<|audio_end|>",
33
+ "audio_token": "<|audio_pad|>",
34
+ "image_token": "<|image_pad|>",
35
+ "video_token": "<|video_pad|>",
36
+ "vision_bos_token": "<|vision_start|>",
37
+ "vision_eos_token": "<|vision_end|>"
38
+ },
39
+ "pad_token": "<|endoftext|>",
40
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
41
+ "split_special_tokens": false,
42
+ "tokenizer_class": "Qwen2Tokenizer",
43
+ "unk_token": null,
44
+ "video_token": "<|video_pad|>",
45
+ "vision_bos_token": "<|vision_start|>",
46
+ "vision_eos_token": "<|vision_end|>"
47
+ }
Keen-qwen4b-20b/checkpoint-8956/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Keen-qwen4b-20b: checkpoint-8956
2
+
3
+ Text-only Qwen3.5-4B architecture, trained from random initialization.
4
+ This is a base pretraining checkpoint, not an instruction-tuned chat model.
5
+ Training used 4,096-token packs with document-isolated attention.
6
+ The larger positional limit in the architecture configuration does not imply
7
+ validated long-context capability beyond the training context.
8
+
9
+ - Optimizer step: 8956
10
+ - Cumulative body tokens: 8,000,600,622
11
+ - Parameters: 4,205,751,296
12
+ - Precision: BF16
13
+ - Special document-end token: `<|endoftext|>`
14
+
15
+ Keen conditions passage reconstruction on `<fact>entity list</fact>`; the prefix participates in attention but is excluded from the training loss.
16
+
17
+ Use Transformers 5.6.2 (the training/evaluation version) with its native
18
+ `Qwen3_5ForCausalLM` implementation. Install PyTorch and Accelerate for GPU loading.
19
+ No remote custom model code is required. Use plain text prompts rather than a
20
+ chat template. Inference caching is enabled in the released configuration;
21
+ weights and tokenizer vocabulary are unchanged.
22
+
23
+ ```python
24
+ import torch
25
+ from transformers import AutoModelForCausalLM, AutoTokenizer
26
+
27
+ repo = "meihant/AnonymousModel-mht"
28
+ subfolder = "Keen-qwen4b-20b/checkpoint-8956"
29
+ tokenizer = AutoTokenizer.from_pretrained(repo, subfolder=subfolder)
30
+ model = AutoModelForCausalLM.from_pretrained(
31
+ repo, subfolder=subfolder, dtype=torch.bfloat16,
32
+ device_map="auto", attn_implementation="eager",
33
+ ).eval()
34
+ inputs = tokenizer("<fact>Paris, France</fact>\nParis", return_tensors="pt").to(model.device)
35
+ with torch.inference_mode():
36
+ output = model.generate(**inputs, max_new_tokens=64, do_sample=False,
37
+ use_cache=True, pad_token_id=tokenizer.eos_token_id)
38
+ print(tokenizer.decode(output[0], skip_special_tokens=False))
39
+ ```
40
+
Keen-qwen4b-20b/checkpoint-8956/config.json ADDED
@@ -0,0 +1,83 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3_5ForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "attn_output_gate": true,
8
+ "bos_token_id": null,
9
+ "dtype": "bfloat16",
10
+ "eos_token_id": 248044,
11
+ "full_attention_interval": 4,
12
+ "head_dim": 256,
13
+ "hidden_act": "silu",
14
+ "hidden_size": 2560,
15
+ "initializer_range": 0.02,
16
+ "intermediate_size": 9216,
17
+ "layer_types": [
18
+ "linear_attention",
19
+ "linear_attention",
20
+ "linear_attention",
21
+ "full_attention",
22
+ "linear_attention",
23
+ "linear_attention",
24
+ "linear_attention",
25
+ "full_attention",
26
+ "linear_attention",
27
+ "linear_attention",
28
+ "linear_attention",
29
+ "full_attention",
30
+ "linear_attention",
31
+ "linear_attention",
32
+ "linear_attention",
33
+ "full_attention",
34
+ "linear_attention",
35
+ "linear_attention",
36
+ "linear_attention",
37
+ "full_attention",
38
+ "linear_attention",
39
+ "linear_attention",
40
+ "linear_attention",
41
+ "full_attention",
42
+ "linear_attention",
43
+ "linear_attention",
44
+ "linear_attention",
45
+ "full_attention",
46
+ "linear_attention",
47
+ "linear_attention",
48
+ "linear_attention",
49
+ "full_attention"
50
+ ],
51
+ "linear_conv_kernel_dim": 4,
52
+ "linear_key_head_dim": 128,
53
+ "linear_num_key_heads": 16,
54
+ "linear_num_value_heads": 32,
55
+ "linear_value_head_dim": 128,
56
+ "mamba_ssm_dtype": "float32",
57
+ "max_position_embeddings": 262144,
58
+ "mlp_only_layers": [],
59
+ "model_type": "qwen3_5_text",
60
+ "mtp_num_hidden_layers": 1,
61
+ "mtp_use_dedicated_embeddings": false,
62
+ "num_attention_heads": 16,
63
+ "num_hidden_layers": 32,
64
+ "num_key_value_heads": 4,
65
+ "pad_token_id": 248044,
66
+ "partial_rotary_factor": 0.25,
67
+ "rms_norm_eps": 1e-06,
68
+ "rope_parameters": {
69
+ "mrope_interleaved": true,
70
+ "mrope_section": [
71
+ 11,
72
+ 11,
73
+ 10
74
+ ],
75
+ "partial_rotary_factor": 0.25,
76
+ "rope_theta": 10000000,
77
+ "rope_type": "default"
78
+ },
79
+ "tie_word_embeddings": true,
80
+ "transformers_version": "5.6.2",
81
+ "use_cache": true,
82
+ "vocab_size": 248320
83
+ }
Keen-qwen4b-20b/checkpoint-8956/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "eos_token_id": 248044,
4
+ "output_attentions": false,
5
+ "output_hidden_states": false,
6
+ "pad_token_id": 248044,
7
+ "transformers_version": "5.6.2",
8
+ "use_cache": true
9
+ }
Keen-qwen4b-20b/checkpoint-8956/tokenizer_config.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "audio_bos_token": "<|audio_start|>",
4
+ "audio_eos_token": "<|audio_end|>",
5
+ "audio_token": "<|audio_pad|>",
6
+ "backend": "tokenizers",
7
+ "bos_token": null,
8
+ "clean_up_tokenization_spaces": false,
9
+ "eos_token": "<|endoftext|>",
10
+ "errors": "replace",
11
+ "extra_special_tokens": [
12
+ "<|im_start|>",
13
+ "<|im_end|>",
14
+ "<|object_ref_start|>",
15
+ "<|object_ref_end|>",
16
+ "<|box_start|>",
17
+ "<|box_end|>",
18
+ "<|quad_start|>",
19
+ "<|quad_end|>",
20
+ "<|vision_start|>",
21
+ "<|vision_end|>",
22
+ "<|vision_pad|>",
23
+ "<|image_pad|>",
24
+ "<|video_pad|>",
25
+ "<fact>",
26
+ "</fact>"
27
+ ],
28
+ "image_token": "<|image_pad|>",
29
+ "model_max_length": 32768,
30
+ "model_specific_special_tokens": {
31
+ "audio_bos_token": "<|audio_start|>",
32
+ "audio_eos_token": "<|audio_end|>",
33
+ "audio_token": "<|audio_pad|>",
34
+ "image_token": "<|image_pad|>",
35
+ "video_token": "<|video_pad|>",
36
+ "vision_bos_token": "<|vision_start|>",
37
+ "vision_eos_token": "<|vision_end|>"
38
+ },
39
+ "pad_token": "<|endoftext|>",
40
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
41
+ "split_special_tokens": false,
42
+ "tokenizer_class": "Qwen2Tokenizer",
43
+ "unk_token": null,
44
+ "video_token": "<|video_pad|>",
45
+ "vision_bos_token": "<|vision_start|>",
46
+ "vision_eos_token": "<|vision_end|>"
47
+ }
README.md ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ pipeline_tag: text-generation
4
+ language:
5
+ - en
6
+ tags:
7
+ - qwen3_5
8
+ - pretraining
9
+ ---
10
+
11
+ # AnonymousModel-mht
12
+
13
+ Inference-only release of 20 budget-boundary checkpoints from two matched,
14
+ randomly initialized Qwen3.5-4B text-model pretraining runs on approximately
15
+ 20B body tokens. Each family contains ten approximately 2B-spaced checkpoints
16
+ from 2B through 20B. The additional final checkpoints at approximately 20.156B
17
+ tokens are intentionally excluded from this release.
18
+
19
+ - [Keen-qwen4b-20b](Keen-qwen4b-20b/README.md): factual-list-conditioned pretraining.
20
+ - [Vanilla-qwen4b-20b](Vanilla-qwen4b-20b/README.md): ordinary text pretraining.
21
+
22
+ The training context was 4,096 tokens. These are base models, not QA-SFT or
23
+ instruction-tuned models. Each checkpoint directory is independently loadable
24
+ with standard Transformers 5.6.2 and contains BF16 safetensors weights,
25
+ model/generation configuration and a tokenizer. Select the checkpoint using
26
+ `subfolder`; this repository root is a collection and has no root model weights.
27
+ Optimizer states, scheduler states and training logs are not distributed.
28
+
29
+ Checkpoint loading examples and exact token counts appear in the family and
30
+ checkpoint READMEs. `checkpoints.json` indexes the release. `manifest.json`
31
+ records artifact hashes. Configuration enables inference caching; the released
32
+ weights and tokenizer vocabulary are unchanged from their training checkpoints.
Vanilla-qwen4b-20b/README.md ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Vanilla-qwen4b-20b
2
+
3
+ Ten budget-boundary checkpoints, approximately every 2B body tokens from 2B through 20B. The additional final checkpoint at approximately 20.156B tokens is intentionally excluded.
4
+
5
+ | Checkpoint | Step | Body tokens | Status |
6
+ |---|---:|---:|---|
7
+ | [checkpoint-1910](checkpoint-1910) | 1,910 | 2,000,045,638 | Intermediate |
8
+ | [checkpoint-3818](checkpoint-3818) | 3,818 | 4,000,211,289 | Intermediate |
9
+ | [checkpoint-5726](checkpoint-5726) | 5,726 | 6,000,159,072 | Intermediate |
10
+ | [checkpoint-7635](checkpoint-7635) | 7,635 | 8,000,913,248 | Intermediate |
11
+ | [checkpoint-9543](checkpoint-9543) | 9,543 | 10,000,619,298 | Intermediate |
12
+ | [checkpoint-11452](checkpoint-11452) | 11,452 | 12,000,591,962 | Intermediate |
13
+ | [checkpoint-13362](checkpoint-13362) | 13,362 | 14,000,166,403 | Intermediate |
14
+ | [checkpoint-15273](checkpoint-15273) | 15,273 | 16,000,320,768 | Intermediate |
15
+ | [checkpoint-17188](checkpoint-17188) | 17,188 | 18,000,257,314 | Intermediate |
16
+ | [checkpoint-19106](checkpoint-19106) | 19,106 | 20,000,220,345 | Intermediate |
Vanilla-qwen4b-20b/checkpoint-1910/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Vanilla-qwen4b-20b: checkpoint-1910
2
+
3
+ Text-only Qwen3.5-4B architecture, trained from random initialization.
4
+ This is a base pretraining checkpoint, not an instruction-tuned chat model.
5
+ Training used 4,096-token packs with document-isolated attention.
6
+ The larger positional limit in the architecture configuration does not imply
7
+ validated long-context capability beyond the training context.
8
+
9
+ - Optimizer step: 1910
10
+ - Cumulative body tokens: 2,000,045,638
11
+ - Parameters: 4,205,751,296
12
+ - Precision: BF16
13
+ - Special document-end token: `<|endoftext|>`
14
+
15
+ Vanilla uses ordinary passage continuation without a facts prefix.
16
+
17
+ Use Transformers 5.6.2 (the training/evaluation version) with its native
18
+ `Qwen3_5ForCausalLM` implementation. Install PyTorch and Accelerate for GPU loading.
19
+ No remote custom model code is required. Use plain text prompts rather than a
20
+ chat template. Inference caching is enabled in the released configuration;
21
+ weights and tokenizer vocabulary are unchanged.
22
+
23
+ ```python
24
+ import torch
25
+ from transformers import AutoModelForCausalLM, AutoTokenizer
26
+
27
+ repo = "meihant/AnonymousModel-mht"
28
+ subfolder = "Vanilla-qwen4b-20b/checkpoint-1910"
29
+ tokenizer = AutoTokenizer.from_pretrained(repo, subfolder=subfolder)
30
+ model = AutoModelForCausalLM.from_pretrained(
31
+ repo, subfolder=subfolder, dtype=torch.bfloat16,
32
+ device_map="auto", attn_implementation="eager",
33
+ ).eval()
34
+ inputs = tokenizer("Paris", return_tensors="pt").to(model.device)
35
+ with torch.inference_mode():
36
+ output = model.generate(**inputs, max_new_tokens=64, do_sample=False,
37
+ use_cache=True, pad_token_id=tokenizer.eos_token_id)
38
+ print(tokenizer.decode(output[0], skip_special_tokens=False))
39
+ ```
40
+
Vanilla-qwen4b-20b/checkpoint-9543/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Vanilla-qwen4b-20b: checkpoint-9543
2
+
3
+ Text-only Qwen3.5-4B architecture, trained from random initialization.
4
+ This is a base pretraining checkpoint, not an instruction-tuned chat model.
5
+ Training used 4,096-token packs with document-isolated attention.
6
+ The larger positional limit in the architecture configuration does not imply
7
+ validated long-context capability beyond the training context.
8
+
9
+ - Optimizer step: 9543
10
+ - Cumulative body tokens: 10,000,619,298
11
+ - Parameters: 4,205,751,296
12
+ - Precision: BF16
13
+ - Special document-end token: `<|endoftext|>`
14
+
15
+ Vanilla uses ordinary passage continuation without a facts prefix.
16
+
17
+ Use Transformers 5.6.2 (the training/evaluation version) with its native
18
+ `Qwen3_5ForCausalLM` implementation. Install PyTorch and Accelerate for GPU loading.
19
+ No remote custom model code is required. Use plain text prompts rather than a
20
+ chat template. Inference caching is enabled in the released configuration;
21
+ weights and tokenizer vocabulary are unchanged.
22
+
23
+ ```python
24
+ import torch
25
+ from transformers import AutoModelForCausalLM, AutoTokenizer
26
+
27
+ repo = "meihant/AnonymousModel-mht"
28
+ subfolder = "Vanilla-qwen4b-20b/checkpoint-9543"
29
+ tokenizer = AutoTokenizer.from_pretrained(repo, subfolder=subfolder)
30
+ model = AutoModelForCausalLM.from_pretrained(
31
+ repo, subfolder=subfolder, dtype=torch.bfloat16,
32
+ device_map="auto", attn_implementation="eager",
33
+ ).eval()
34
+ inputs = tokenizer("Paris", return_tensors="pt").to(model.device)
35
+ with torch.inference_mode():
36
+ output = model.generate(**inputs, max_new_tokens=64, do_sample=False,
37
+ use_cache=True, pad_token_id=tokenizer.eos_token_id)
38
+ print(tokenizer.decode(output[0], skip_special_tokens=False))
39
+ ```
40
+
Vanilla-qwen4b-20b/checkpoint-9543/config.json ADDED
@@ -0,0 +1,83 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3_5ForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "attn_output_gate": true,
8
+ "bos_token_id": null,
9
+ "dtype": "bfloat16",
10
+ "eos_token_id": 248044,
11
+ "full_attention_interval": 4,
12
+ "head_dim": 256,
13
+ "hidden_act": "silu",
14
+ "hidden_size": 2560,
15
+ "initializer_range": 0.02,
16
+ "intermediate_size": 9216,
17
+ "layer_types": [
18
+ "linear_attention",
19
+ "linear_attention",
20
+ "linear_attention",
21
+ "full_attention",
22
+ "linear_attention",
23
+ "linear_attention",
24
+ "linear_attention",
25
+ "full_attention",
26
+ "linear_attention",
27
+ "linear_attention",
28
+ "linear_attention",
29
+ "full_attention",
30
+ "linear_attention",
31
+ "linear_attention",
32
+ "linear_attention",
33
+ "full_attention",
34
+ "linear_attention",
35
+ "linear_attention",
36
+ "linear_attention",
37
+ "full_attention",
38
+ "linear_attention",
39
+ "linear_attention",
40
+ "linear_attention",
41
+ "full_attention",
42
+ "linear_attention",
43
+ "linear_attention",
44
+ "linear_attention",
45
+ "full_attention",
46
+ "linear_attention",
47
+ "linear_attention",
48
+ "linear_attention",
49
+ "full_attention"
50
+ ],
51
+ "linear_conv_kernel_dim": 4,
52
+ "linear_key_head_dim": 128,
53
+ "linear_num_key_heads": 16,
54
+ "linear_num_value_heads": 32,
55
+ "linear_value_head_dim": 128,
56
+ "mamba_ssm_dtype": "float32",
57
+ "max_position_embeddings": 262144,
58
+ "mlp_only_layers": [],
59
+ "model_type": "qwen3_5_text",
60
+ "mtp_num_hidden_layers": 1,
61
+ "mtp_use_dedicated_embeddings": false,
62
+ "num_attention_heads": 16,
63
+ "num_hidden_layers": 32,
64
+ "num_key_value_heads": 4,
65
+ "pad_token_id": 248044,
66
+ "partial_rotary_factor": 0.25,
67
+ "rms_norm_eps": 1e-06,
68
+ "rope_parameters": {
69
+ "mrope_interleaved": true,
70
+ "mrope_section": [
71
+ 11,
72
+ 11,
73
+ 10
74
+ ],
75
+ "partial_rotary_factor": 0.25,
76
+ "rope_theta": 10000000,
77
+ "rope_type": "default"
78
+ },
79
+ "tie_word_embeddings": true,
80
+ "transformers_version": "5.6.2",
81
+ "use_cache": true,
82
+ "vocab_size": 248320
83
+ }
Vanilla-qwen4b-20b/checkpoint-9543/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "eos_token_id": 248044,
4
+ "output_attentions": false,
5
+ "output_hidden_states": false,
6
+ "pad_token_id": 248044,
7
+ "transformers_version": "5.6.2",
8
+ "use_cache": true
9
+ }
Vanilla-qwen4b-20b/checkpoint-9543/tokenizer_config.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "audio_bos_token": "<|audio_start|>",
4
+ "audio_eos_token": "<|audio_end|>",
5
+ "audio_token": "<|audio_pad|>",
6
+ "backend": "tokenizers",
7
+ "bos_token": null,
8
+ "clean_up_tokenization_spaces": false,
9
+ "eos_token": "<|endoftext|>",
10
+ "errors": "replace",
11
+ "extra_special_tokens": [
12
+ "<|im_start|>",
13
+ "<|im_end|>",
14
+ "<|object_ref_start|>",
15
+ "<|object_ref_end|>",
16
+ "<|box_start|>",
17
+ "<|box_end|>",
18
+ "<|quad_start|>",
19
+ "<|quad_end|>",
20
+ "<|vision_start|>",
21
+ "<|vision_end|>",
22
+ "<|vision_pad|>",
23
+ "<|image_pad|>",
24
+ "<|video_pad|>",
25
+ "<fact>",
26
+ "</fact>"
27
+ ],
28
+ "image_token": "<|image_pad|>",
29
+ "model_max_length": 32768,
30
+ "model_specific_special_tokens": {
31
+ "audio_bos_token": "<|audio_start|>",
32
+ "audio_eos_token": "<|audio_end|>",
33
+ "audio_token": "<|audio_pad|>",
34
+ "image_token": "<|image_pad|>",
35
+ "video_token": "<|video_pad|>",
36
+ "vision_bos_token": "<|vision_start|>",
37
+ "vision_eos_token": "<|vision_end|>"
38
+ },
39
+ "pad_token": "<|endoftext|>",
40
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
41
+ "split_special_tokens": false,
42
+ "tokenizer_class": "Qwen2Tokenizer",
43
+ "unk_token": null,
44
+ "video_token": "<|video_pad|>",
45
+ "vision_bos_token": "<|vision_start|>",
46
+ "vision_eos_token": "<|vision_end|>"
47
+ }
checkpoints.json ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "subfolder": "Keen-qwen4b-20b/checkpoint-2253",
4
+ "step": 2253,
5
+ "body_tokens": 2000696711,
6
+ "final": false,
7
+ "layout": {
8
+ "tensors": 426,
9
+ "serialized_parameters": 4205751296
10
+ }
11
+ },
12
+ {
13
+ "subfolder": "Keen-qwen4b-20b/checkpoint-4453",
14
+ "step": 4453,
15
+ "body_tokens": 4000757038,
16
+ "final": false,
17
+ "layout": {
18
+ "tensors": 426,
19
+ "serialized_parameters": 4205751296
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+ }
21
+ },
22
+ {
23
+ "subfolder": "Keen-qwen4b-20b/checkpoint-6701",
24
+ "step": 6701,
25
+ "body_tokens": 6000082648,
26
+ "final": false,
27
+ "layout": {
28
+ "tensors": 426,
29
+ "serialized_parameters": 4205751296
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+ }
31
+ },
32
+ {
33
+ "subfolder": "Keen-qwen4b-20b/checkpoint-8956",
34
+ "step": 8956,
35
+ "body_tokens": 8000600622,
36
+ "final": false,
37
+ "layout": {
38
+ "tensors": 426,
39
+ "serialized_parameters": 4205751296
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+ }
41
+ },
42
+ {
43
+ "subfolder": "Keen-qwen4b-20b/checkpoint-11202",
44
+ "step": 11202,
45
+ "body_tokens": 10000294657,
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+ "final": false,
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+ "layout": {
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+ "tensors": 426,
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+ "serialized_parameters": 4205751296
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+ }
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+ },
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+ {
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+ "subfolder": "Keen-qwen4b-20b/checkpoint-13449",
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+ "step": 13449,
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+ "body_tokens": 12000429703,
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+ "final": false,
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+ "layout": {
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+ "tensors": 426,
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+ "serialized_parameters": 4205751296
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+ }
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+ },
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+ {
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+ "subfolder": "Keen-qwen4b-20b/checkpoint-15698",
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+ "step": 15698,
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+ "body_tokens": 14000083680,
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+ "final": false,
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+ "layout": {
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+ "tensors": 426,
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+ "serialized_parameters": 4205751296
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+ }
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+ },
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+ {
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+ "subfolder": "Keen-qwen4b-20b/checkpoint-17953",
74
+ "step": 17953,
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+ "body_tokens": 16000387372,
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+ "final": false,
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+ "layout": {
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+ "tensors": 426,
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+ "serialized_parameters": 4205751296
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+ }
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+ },
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+ {
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+ "subfolder": "Keen-qwen4b-20b/checkpoint-20218",
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+ "step": 20218,
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+ "body_tokens": 18000030679,
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+ "final": false,
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+ "layout": {
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+ "tensors": 426,
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+ "serialized_parameters": 4205751296
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+ }
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+ },
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+ {
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+ "subfolder": "Keen-qwen4b-20b/checkpoint-22478",
94
+ "step": 22478,
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+ "body_tokens": 20000557588,
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+ "final": false,
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+ "layout": {
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+ "tensors": 426,
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+ "serialized_parameters": 4205751296
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+ }
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+ },
102
+ {
103
+ "subfolder": "Vanilla-qwen4b-20b/checkpoint-1910",
104
+ "step": 1910,
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+ "body_tokens": 2000045638,
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+ "final": false,
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+ "layout": {
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+ "tensors": 426,
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+ "serialized_parameters": 4205751296
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+ }
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+ },
112
+ {
113
+ "subfolder": "Vanilla-qwen4b-20b/checkpoint-3818",
114
+ "step": 3818,
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+ "body_tokens": 4000211289,
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+ "final": false,
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+ "layout": {
118
+ "tensors": 426,
119
+ "serialized_parameters": 4205751296
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+ }
121
+ },
122
+ {
123
+ "subfolder": "Vanilla-qwen4b-20b/checkpoint-5726",
124
+ "step": 5726,
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+ "body_tokens": 6000159072,
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+ "final": false,
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+ "layout": {
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+ "tensors": 426,
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+ "serialized_parameters": 4205751296
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+ }
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+ },
132
+ {
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+ "subfolder": "Vanilla-qwen4b-20b/checkpoint-7635",
134
+ "step": 7635,
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+ "body_tokens": 8000913248,
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+ "final": false,
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+ "layout": {
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+ "tensors": 426,
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+ "serialized_parameters": 4205751296
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+ }
141
+ },
142
+ {
143
+ "subfolder": "Vanilla-qwen4b-20b/checkpoint-9543",
144
+ "step": 9543,
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+ "body_tokens": 10000619298,
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+ "final": false,
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+ "layout": {
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+ "tensors": 426,
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+ "serialized_parameters": 4205751296
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+ }
151
+ },
152
+ {
153
+ "subfolder": "Vanilla-qwen4b-20b/checkpoint-11452",
154
+ "step": 11452,
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+ "body_tokens": 12000591962,
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+ "final": false,
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+ "layout": {
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+ "tensors": 426,
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+ "serialized_parameters": 4205751296
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+ }
161
+ },
162
+ {
163
+ "subfolder": "Vanilla-qwen4b-20b/checkpoint-13362",
164
+ "step": 13362,
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+ "body_tokens": 14000166403,
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+ "final": false,
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+ "layout": {
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+ "tensors": 426,
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+ "serialized_parameters": 4205751296
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+ }
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+ },
172
+ {
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+ "subfolder": "Vanilla-qwen4b-20b/checkpoint-15273",
174
+ "step": 15273,
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+ "body_tokens": 16000320768,
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+ "final": false,
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+ "layout": {
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+ "tensors": 426,
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+ "serialized_parameters": 4205751296
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+ }
181
+ },
182
+ {
183
+ "subfolder": "Vanilla-qwen4b-20b/checkpoint-17188",
184
+ "step": 17188,
185
+ "body_tokens": 18000257314,
186
+ "final": false,
187
+ "layout": {
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+ "tensors": 426,
189
+ "serialized_parameters": 4205751296
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+ }
191
+ },
192
+ {
193
+ "subfolder": "Vanilla-qwen4b-20b/checkpoint-19106",
194
+ "step": 19106,
195
+ "body_tokens": 20000220345,
196
+ "final": false,
197
+ "layout": {
198
+ "tensors": 426,
199
+ "serialized_parameters": 4205751296
200
+ }
201
+ }
202
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