commit 3031f2cd4f9987bea050983d4922656d9f0519d3 Author: ModelHub XC Date: Mon Aug 3 18:29:16 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: kosiasuzu/agenticml-agent-llama-3.1-8b-init Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..52373fe --- /dev/null +++ b/.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 diff --git a/README.md b/README.md new file mode 100644 index 0000000..c080154 --- /dev/null +++ b/README.md @@ -0,0 +1,108 @@ +--- +library_name: transformers +tags: +- agent +license: llama3.1 +language: +- en +base_model: +- meta-llama/Llama-3.1-8B +pipeline_tag: text-generation +--- + +# Telos Llama-3.1-8B (init) + +A Llama-3.1-8B base model with eleven of its reserved special tokens +seeded with semantically related-content-token embeddings, in +preparation for fine-tuning on the [Telos](https://github.com/) agent +trajectory format. + +This is **not a fine-tuned agent model.** It is the base model with +embedding initialization applied. Behavior on any task is identical +or near-identical to vanilla Llama-3.1-8B-base; the only difference is +that the eleven Telos reserved tokens now have non-zero embeddings in +both the input and output matrices. + +## Model details + +- **Base model:** `meta-llama/Llama-3.1-8B` +- **Modification:** in-place initialization of eleven reserved-token rows + in `embed_tokens` and `lm_head` +- **Initialization method:** for each Telos marker, the mean of the + input/output embeddings of 2-3 semantically related content tokens +- **Tokenizer:** unchanged from the base model +- **Vocabulary size:** unchanged (128 256) +## Token mapping + +The Telos format aliases these eleven reserved tokens to frame markers +at the string level. The tokenizer in this repo is unchanged from the +base; aliasing is done by the Telos SDK at encode/decode time. + +| Telos marker | Reserved token | Token ID | Seed words | +| ---------------- | --------------------------------- | -------- | --------------------------------------- | +| `<\|goal\|>` | `<\|reserved_special_token_0\|>` | 128002 | goal, objective, purpose | +| `<\|mission\|>` | `<\|reserved_special_token_1\|>` | 128003 | mission, task, instruction | +| `<\|obs\|>` | `<\|reserved_special_token_2\|>` | 128005 | observation, context, environment | +| `<\|belief\|>` | `<\|reserved_special_token_3\|>` | 128011 | belief, state, knowledge | +| `<\|plan\|>` | `<\|reserved_special_token_4\|>` | 128012 | plan, strategy, approach | +| `<\|think\|>` | `<\|reserved_special_token_5\|>` | 128013 | think, reasoning, thought | +| `<\|action\|>` | `<\|reserved_special_token_6\|>` | 128014 | action, call, tool | +| `<\|end\|>` | `<\|reserved_special_token_7\|>` | 128015 | end, stop, done | +| `<\|result\|>` | `<\|reserved_special_token_8\|>` | 128016 | result, output, response | +| `<\|feedback\|>` | `<\|reserved_special_token_9\|>` | 128017 | feedback, update, progress | +| `<\|reward\|>` | `<\|reserved_special_token_10\|>` | 128018 | reward, score | + +## Why initialization was needed + +In the base Llama-3.1-8B model, all 250 reserved special tokens have +**all-zero embeddings** in both `embed_tokens` and `lm_head`. They were +registered as vocabulary entries but never received any pretraining +gradient. + +For Telos, this is degenerate: the model cannot read the markers as +input (zero embedding contributes nothing) and cannot emit them as +output (zero `lm_head` row → near-zero logit → near-zero probability +after softmax). Empirically, prompting the base model with a +Telos-formatted trajectory causes the model to ignore the markers +entirely and loop on prose content. + +Mean-of-related-tokens initialization seeds each marker with a sensible +starting representation. The model still does not understand the Telos +format - that requires fine-tuning - but the markers now contribute +meaningful signal to the forward pass and have non-zero output logits. + +## Intended use + +This checkpoint is intended as the starting point for fine-tuning on +Telos-formatted trajectories. Use it the same way you would use the +plain Llama-3.1-8B base. + +```python +from transformers import AutoModelForCausalLM, AutoTokenizer + +tokenizer = AutoTokenizer.from_pretrained("kosiasuzu/telos-llama-3.1-8b-init") +model = AutoModelForCausalLM.from_pretrained( + "kosiasuzu/telos-llama-3.1-8b-init", + torch_dtype="bfloat16", + device_map="auto", +) +``` + +## Out-of-scope use + +- **Not an agent yet.** This checkpoint has not been trained on any + agent trajectories. Do not expect it to follow the Telos format + correctly. +- **Not an instruction-tuned model.** It inherits all the base-model + limitations of Llama-3.1-8B (looping on greedy decoding, no + instruction following). +- All limitations and biases of Llama-3.1-8B base apply unchanged. +## License + +Inherits the Llama 3.1 Community License from the base model. Use of +this model is subject to that license's terms. + +## Citation + +If you build on this, please cite the Telos project and the underlying +Llama-3.1 model. \ No newline at end of file diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..f98d5e0 --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1 @@ +{%- for frame in messages -%}{%- if frame['type'] == 'goal' -%}<|reserved_special_token_0|>{{ frame['content'] or '' }}{%- elif frame['type'] == 'mission' -%}<|reserved_special_token_1|>{{ frame['content'] or '' }}{%- elif frame['type'] == 'obs' -%}<|reserved_special_token_2|>{{ frame['content'] or '' }}{%- elif frame['type'] == 'belief' -%}<|reserved_special_token_3|>{{ frame['content'] or '' }}{%- elif frame['type'] == 'plan' -%}<|reserved_special_token_4|>{{ frame['content'] or '' }}{%- elif frame['type'] == 'think' -%}<|reserved_special_token_5|>{{ frame['content'] or '' }}{%- elif frame['type'] == 'action' -%}<|reserved_special_token_6|>{{ frame['content'] | tojson }}{%- elif frame['type'] == 'end' -%}<|reserved_special_token_7|>{%- elif frame['type'] == 'result' -%}<|reserved_special_token_8|>{{ frame['content'] | tojson }}{%- elif frame['type'] == 'feedback' -%}<|reserved_special_token_9|>{{ frame['content'] or '' }}{%- elif frame['type'] == 'reward' -%}<|reserved_special_token_10|>{{ frame['content'] or '' }}{%- endif -%}{%- endfor -%} \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..54ee431 --- /dev/null +++ b/config.json @@ -0,0 +1,36 @@ +{ + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 128000, + "dtype": "bfloat16", + "eos_token_id": 128001, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 4096, + "initializer_range": 0.02, + "intermediate_size": 14336, + "max_position_embeddings": 131072, + "mlp_bias": false, + "model_type": "llama", + "num_attention_heads": 32, + 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