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Model: renaudb1999/le-harnais-ft-agentworld-8b Source: Original Platform
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README.md
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README.md
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---
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license: llama3.1
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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library_name: transformers
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tags: [le-harnais, hero]
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---
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# le-harnais / ft-agentworld-8b
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World-model student; near-teacher local replacement.
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- **Base model:** [`meta-llama/Meta-Llama-3.1-8B-Instruct`](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) — **Built with Llama**; Llama Community License applies.
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- **Class:** `hero`
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- **Training data:** datasets/agentworld_distill_train.jsonl (160 ex; teacher=Qwen-AgentWorld-35B-A3B)
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- **Headline:** token-F1 0.958 / OBSERVATION hit-rate 95% vs teacher (n=40) — near teacher-quality at ~16GB
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## Reproduce
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```sh
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BASE=meta-llama/Meta-Llama-3.1-8B-Instruct OUT=refs/llm-jepa/ft-agentworld-8b tools/distill_agentworld.sh
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```
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Full recipe, datasets, and eval commands: see `docs/REPRODUCE.md` in the
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[le-harnais distribution]. Provenance & license: `docs/PROVENANCE.md`.
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## Formats in this repo
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- `*.safetensors` — bf16 inference weights (serve with `transformers` or le-harnais `lh-serve`/candle).
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- `*.Q4_K_M.gguf` — portable 4-bit quant (run via `ollama` / `llama.cpp`; Mac-friendly).
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- `*.Q8_0.gguf` — higher-fidelity 8-bit quant (hero models).
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> Orchestration amplifies a capable generator; it does not create competence.
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{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>
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'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{{ '<|start_header_id|>assistant<|end_header_id|>
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' }}
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config.json
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"mlp_bias": false,
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96
special_tokens_map.json
Normal file
96
special_tokens_map.json
Normal file
@@ -0,0 +1,96 @@
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"single_word": false
|
||||
},
|
||||
{
|
||||
"content": "<|predictor_2|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
{
|
||||
"content": "<|predictor_3|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
{
|
||||
"content": "<|predictor_4|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
{
|
||||
"content": "<|predictor_5|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
{
|
||||
"content": "<|predictor_6|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
{
|
||||
"content": "<|predictor_7|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
{
|
||||
"content": "<|predictor_8|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
{
|
||||
"content": "<|predictor_9|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
{
|
||||
"content": "<|predictor_10|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
{
|
||||
"content": "<|perception|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
],
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": "<|eot_id|>"
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:61c47dbb93393e22a521ae5040a83024a825fe67c350810f841b261ec31a4903
|
||||
size 17212309
|
||||
2164
tokenizer_config.json
Normal file
2164
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
64
trainer_state.json
Normal file
64
trainer_state.json
Normal file
@@ -0,0 +1,64 @@
|
||||
{
|
||||
"best_global_step": null,
|
||||
"best_metric": null,
|
||||
"best_model_checkpoint": null,
|
||||
"epoch": 3.0,
|
||||
"eval_steps": 500,
|
||||
"global_step": 30,
|
||||
"is_hyper_param_search": false,
|
||||
"is_local_process_zero": true,
|
||||
"is_world_process_zero": true,
|
||||
"log_history": [
|
||||
{
|
||||
"epoch": 1.0,
|
||||
"grad_norm": 8.9375,
|
||||
"learning_rate": 7e-06,
|
||||
"loss": 0.9877,
|
||||
"step": 10
|
||||
},
|
||||
{
|
||||
"epoch": 2.0,
|
||||
"grad_norm": 5.84375,
|
||||
"learning_rate": 3.6666666666666666e-06,
|
||||
"loss": 0.1669,
|
||||
"step": 20
|
||||
},
|
||||
{
|
||||
"epoch": 3.0,
|
||||
"grad_norm": 6.0,
|
||||
"learning_rate": 3.3333333333333335e-07,
|
||||
"loss": 0.1262,
|
||||
"step": 30
|
||||
},
|
||||
{
|
||||
"epoch": 3.0,
|
||||
"step": 30,
|
||||
"total_flos": 2.213305632423936e+16,
|
||||
"train_loss": 0.42695777813593544,
|
||||
"train_runtime": 263.8344,
|
||||
"train_samples_per_second": 1.819,
|
||||
"train_steps_per_second": 0.114
|
||||
}
|
||||
],
|
||||
"logging_steps": 10,
|
||||
"max_steps": 30,
|
||||
"num_input_tokens_seen": 0,
|
||||
"num_train_epochs": 3,
|
||||
"save_steps": 10,
|
||||
"stateful_callbacks": {
|
||||
"TrainerControl": {
|
||||
"args": {
|
||||
"should_epoch_stop": false,
|
||||
"should_evaluate": false,
|
||||
"should_log": false,
|
||||
"should_save": true,
|
||||
"should_training_stop": true
|
||||
},
|
||||
"attributes": {}
|
||||
}
|
||||
},
|
||||
"total_flos": 2.213305632423936e+16,
|
||||
"train_batch_size": 4,
|
||||
"trial_name": null,
|
||||
"trial_params": null
|
||||
}
|
||||
Reference in New Issue
Block a user