初始化项目，由ModelHub XC社区提供模型

Model: birgermoell/oellm-9b-256k-theta64m-prelude
Source: Original Platform

.gitattributes

@@ -0,0 +1,36 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,66 @@
+---
+license: apache-2.0
+language: [en, sv, de, fr, es, it, nl, pl, pt, cs, fi, da, el, bg, hr, hu, ro, sk, sl, et, lt, lv, ga, mt, eu, gl, is, nb, nn, sr, uk, ca, mk, sq, oc, lb, bs]
+tags: [long-context, rope, abf, niah, qwen3, openeurollm, base-model, 256k]
+pipeline_tag: text-generation
+library_name: transformers
+---
+
+# OELLM 9B — 256K context (ABF, θ=64M) — prelude (1T-token base)
+
+**256K** long-context extension of the OpenEuroLLM **prelude** base (Qwen3 dense 9B,
+`qwen3_9b_hf_baby` at **iter_0124800 ≈ 1T tokens**). Continues the θ-law curriculum from our
+128K model ([`oellm-9b-128k-theta32m-prelude`](https://huggingface.co/birgermoell/oellm-9b-128k-theta32m-prelude))
+to the next octave. **Base model — not instruction-tuned.** Multilingual (37 European languages).
+
+## Headline: the θ-law extends to 256K
+Far-position (depth-0) retrieval is a RoPE high-dimension OOD problem; the critical rotary base θ
+**doubles per context-length octave**. This model confirms the law at 256K:
+
+| context | θ | depth-0 |
+|---|---|---|
+| 128K | 32M | ✓ |
+| **256K** | **64M** | **100%** ✓ |
+
+## Method (staged native ABF)
+`prelude(4K) → 16K(θ=500k) → 32K(θ=1M) → 64K(θ=2M) → 128K(θ=32M) → 256K(θ=64M)`.
+Continued-pretraining in Megatron-LM on LUMI (16× MI250X), CP=16, θ=64M, selective recompute,
+1B tokens for the 256K stage. **Data:** 60% genuine-256K long documents (arXiv/books/code/RFC/docsite
+concatenated to 256K) + 40% multilingual long-context mix (Jouni Luoma's 152-source blend) — the
+multilingual portion prevents non-English regression during the 256K stage.
+
+## Evaluation (base-LM forced-choice NIAH, chance 25%)
+[`scripts/eval_base_lm_niah.py`](https://github.com/BirgerMoell/openeuro-longctx-datamix). The 256K
+forward needs multi-GPU (`device_map="auto"` over a full 8-GCD node; one GCD OOMs at 256K).
+
+**@256K** (multilingual sweep in progress; ~92% so far, **depth-0 = 100%**):
+| depth | 0.0 | 0.25 | 0.5 | 0.75 | 1.0 |
+|---|---|---|---|---|---|
+| accuracy | **100%** | (settling) | 100% | (settling) | 100% |
+
+**@128K retention: 98% (158/160), depth-0 100%** — extending to 256K did **not** degrade 128K
+(depth 0.5 = 93%, the mild mid-depth softness carried from the 128K model; see that model's card).
+
+## Architecture
+Qwen3 dense: 36 layers, hidden 4096, FFN 12288, 32 heads / 8 KV (GQA), kv-channels 128,
+qk-layernorm, RMSNorm, SwiGLU, untied embeddings, vocab 262144.
+Config: **rope_theta=64000000, max_position_embeddings=262144**.
+
+## Usage
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+# 256K context needs several GPUs; use device_map="auto".
+m = AutoModelForCausalLM.from_pretrained("openeurollm/oellm-9b-256k-theta64m-prelude",
+                                         torch_dtype=torch.bfloat16, device_map="auto")
+tok = AutoTokenizer.from_pretrained("openeurollm/oellm-9b-256k-theta64m-prelude")
+# Base completion model. Keep rope_theta=64M / max_position=262144 for 256K.
+```
+
+## Caveats
+- **Base model** (no instruction tuning). Single-needle NIAH; broader RULER not yet run.
+- Keep `rope_theta=64000000`, `max_position_embeddings=262144` for 256K.
+- Mild "lost-in-the-middle" inherited from the 1T base (a property of the more-pretrained base;
+  under investigation — larger long-context budget is the leading fix).
+- Repo/code: https://github.com/BirgerMoell/openeuro-longctx-datamix (θ analysis in
+  `docs/depth0_diagnosis_theta_sweep.md`). Sibling: `oellm-9b-128k-theta32m-prelude`.

added_tokens.json

@@ -0,0 +1,3 @@
+{
+  "<pad>": 262144
+}

config.json

@@ -0,0 +1,68 @@
+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "dtype": "bfloat16",
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 12288,
+  "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",
+    "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",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 262144,
+  "max_window_layers": 28,
+  "model_type": "qwen3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 64000000,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.57.3",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 263168
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5c43e44806d4287d083e22260f5813c6c6858d4ab85f7ee54551f9157d847928
+size 18204021587

special_tokens_map.json

@@ -0,0 +1,142 @@
+{
+  "additional_special_tokens": [
+    "<start_of_turn>",
+    "<end_of_turn>",
+    "<start_of_image>",
+    "<end_of_image>",
+    "<image_soft_token>",
+    "<fim_prefix>",
+    "<fim_middle>",
+    "<fim_suffix>",
+    "<tool_call>",
+    "</tool_call>",
+    "<unused_0>",
+    "<unused_1>",
+    "<unused_2>",
+    "<unused_3>",
+    "<unused_4>",
+    "<unused_5>",
+    "<unused_6>",
+    "<unused_7>",
+    "<unused_8>",
+    "<unused_9>",
+    "<unused_10>",
+    "<unused_11>",
+    "<unused_12>",
+    "<unused_13>",
+    "<unused_14>",
+    "<unused_15>",
+    "<unused_16>",
+    "<unused_17>",
+    "<unused_18>",
+    "<unused_19>",
+    "<unused_20>",
+    "<unused_21>",
+    "<unused_22>",
+    "<unused_23>",
+    "<unused_24>",
+    "<unused_25>",
+    "<unused_26>",
+    "<unused_27>",
+    "<unused_28>",
+    "<unused_29>",
+    "<unused_30>",
+    "<unused_31>",
+    "<unused_32>",
+    "<unused_33>",
+    "<unused_34>",
+    "<unused_35>",
+    "<unused_36>",
+    "<unused_37>",
+    "<unused_38>",
+    "<unused_39>",
+    "<unused_40>",
+    "<unused_41>",
+    "<unused_42>",
+    "<unused_43>",
+    "<unused_44>",
+    "<unused_45>",
+    "<unused_46>",
+    "<unused_47>",
+    "<unused_48>",
+    "<unused_49>",
+    "<unused_50>",
+    "<unused_51>",
+    "<unused_52>",
+    "<unused_53>",
+    "<unused_54>",
+    "<unused_55>",
+    "<unused_56>",
+    "<unused_57>",
+    "<unused_58>",
+    "<unused_59>",
+    "<unused_60>",
+    "<unused_61>",
+    "<unused_62>",
+    "<unused_63>",
+    "<unused_64>",
+    "<unused_65>",
+    "<unused_66>",
+    "<unused_67>",
+    "<unused_68>",
+    "<unused_69>",
+    "<unused_70>",
+    "<unused_71>",
+    "<unused_72>",
+    "<unused_73>",
+    "<unused_74>",
+    "<unused_75>",
+    "<unused_76>",
+    "<unused_77>",
+    "<unused_78>",
+    "<unused_79>",
+    "<unused_80>",
+    "<unused_81>",
+    "<unused_82>",
+    "<unused_83>",
+    "<unused_84>",
+    "<unused_85>",
+    "<unused_86>",
+    "<unused_87>",
+    "<unused_88>",
+    "<unused_89>",
+    "<unused_90>",
+    "<unused_91>",
+    "<unused_92>",
+    "<unused_93>",
+    "<unused_94>",
+    "<unused_95>",
+    "<unused_96>",
+    "<unused_97>",
+    "<unused_98>",
+    "<unused_99>"
+  ],
+  "bos_token": {
+    "content": "<bos>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<eos>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ce296af846f114e330e8e62887df4c6abafd4fd682434fb0ced1a3abfa2e04c1
+size 37807304

tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ac214401227404105817141c21c6693e3b17c878465a42765d2c345310e003ce
+size 4876269