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Model: open-thoughts/OpenThinkerAgent-8B-RL Source: Original Platform
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README.md
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README.md
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---
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base_model:
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- open-thoughts/OpenThinkerAgent-8B-ColdStartSFTForRL
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datasets:
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- open-thoughts/OpenThoughts-Agent-RL-5K
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- open-thoughts/OpenThoughts-Agent-SFT-ColdStartForRL-10K
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library_name: transformers
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license: apache-2.0
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model-index:
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- name: OpenThinkerAgent-8B-RL
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results: []
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pipeline_tag: text-generation
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tags:
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- agents
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- terminal
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- code
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- software-engineering
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- reinforcement-learning
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- rl
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---
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<p align="center">
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<img src="https://huggingface.co/datasets/open-thoughts/OpenThoughts1-Agent-SFT/resolve/main/ota-logo.png" width="50%">
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</p>
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<p align="center">
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<a href="https://www.openthoughts.ai/blog/agent" style="margin-right: 24px;">Project</a> |
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<a href="https://github.com/open-thoughts/OpenThoughts-Agent" style="margin-right: 24px; margin-left: 24px;">Code</a> |
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<a href="https://huggingface.co/collections/open-thoughts/openthinker-agent" style="margin-left: 24px;">Collection</a>
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</p>
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# OpenThinkerAgent-8B-RL
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**OpenThoughts-Agent** is an open-source effort to curate the best datasets for training agents. Our release includes [datasets](https://huggingface.co/collections/open-thoughts/openthinker-agent), [models](https://huggingface.co/collections/open-thoughts/openthinker-agent) and our [research codebase](https://github.com/open-thoughts/OpenThoughts-Agent).
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[OpenThinkerAgent-8B-RL](https://huggingface.co/open-thoughts/OpenThinkerAgent-8B-RL) is the **final, RL-trained** 8B agentic checkpoint of the OpenThoughts-Agent SFT→RL recipe. Starting from the cold-start SFT base [OpenThinkerAgent-8B-ColdStartSFTForRL](https://huggingface.co/open-thoughts/OpenThinkerAgent-8B-ColdStartSFTForRL), it is further trained with on-policy reinforcement learning on the [OpenThoughts-Agent-RL-5K](https://huggingface.co/datasets/open-thoughts/OpenThoughts-Agent-RL-5K) task set. This checkpoint corresponds to **RL step 45**.
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> **Architecture note.** Although the upstream lineage carries a `GLM-4.7` label (which refers to the *teacher* used for the cold-start SFT trajectories, not the student), this model is a **Qwen3-8B**. Its `config.json` reports `model_type: qwen3`, `architectures: ["Qwen3ForCausalLM"]`, 36 layers, hidden size 4096, 32 attention heads / 8 KV heads, and a 40,960-token context — i.e. standard Qwen3-8B.
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- **Homepage:** https://www.openthoughts.ai/blog/agent
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- **Repository:** https://github.com/open-thoughts/OpenThoughts-Agent
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# Model details
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- **Base (pre-RL) model:** [OpenThinkerAgent-8B-ColdStartSFTForRL](https://huggingface.co/open-thoughts/OpenThinkerAgent-8B-ColdStartSFTForRL) (itself an SFT of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B))
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- **Architecture:** Qwen3 (`Qwen3ForCausalLM`), 36 layers, hidden size 4096, 32 attention heads, 8 KV heads, RoPE θ = 1e6
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- **Context length:** 40,960 tokens (max position embeddings); RL rollouts used a 32,768-token serving window
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- **Vocabulary:** 151,936 tokens
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- **Precision:** bf16
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- **Checkpoint:** RL step 45
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# The SFT → RL recipe
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1. [OpenThoughts-Agent-SFT-ColdStartForRL-10K](https://huggingface.co/datasets/open-thoughts/OpenThoughts-Agent-SFT-ColdStartForRL-10K) — cold-start SFT trajectories.
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2. [OpenThinkerAgent-8B-ColdStartSFTForRL](https://huggingface.co/open-thoughts/OpenThinkerAgent-8B-ColdStartSFTForRL) — Qwen3-8B after cold-start SFT (the pre-RL base).
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3. [OpenThoughts-Agent-RL-5K](https://huggingface.co/datasets/open-thoughts/OpenThoughts-Agent-RL-5K) — the 5,000 on-policy RL tasks.
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4. **[OpenThinkerAgent-8B-RL](https://huggingface.co/open-thoughts/OpenThinkerAgent-8B-RL)** — this model, the final RL'd checkpoint (step 45).
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# Training data
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- **Cold-start SFT:** [OpenThoughts-Agent-SFT-ColdStartForRL-10K](https://huggingface.co/datasets/open-thoughts/OpenThoughts-Agent-SFT-ColdStartForRL-10K) (9,437 task/trajectory pairs).
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- **RL tasks:** [OpenThoughts-Agent-RL-5K](https://huggingface.co/datasets/open-thoughts/OpenThoughts-Agent-RL-5K) (5,000 `pymethods2test-large` tasks); the policy rolls out against each task in a Daytona sandbox and is rewarded by the task's test verifier.
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# Training procedure
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On-policy RL with the OpenThoughts-Agent codebase (SkyRL), recorded in the run config shipped with this repo (`swesmith-fixthink-pymethods2test_rl_config.json`):
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- **Algorithm:** RLOO-n advantage estimator (`advantage_estimator=rloo_n`), no KL loss (`use_kl_loss=false`, `kl_loss_coef=0.0`)
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- **PPO clip:** eps_clip_low/high = 0.2, loss reduction = token_mean
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- **Optimizer:** AdamW, learning_rate 5e-6, weight_decay 0.0, betas (0.9, 0.999)
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- **Batch:** train_batch_size 64, policy_mini_batch_size 64
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- **Rollouts:** vLLM backend, 8 samples per prompt, sampling temperature 0.7 / top_p 0.95 / top_k 20, max generate length 4096, served at 32,768-token context
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- **Harness:** terminus-2 agent in Daytona sandboxes; interleaved thinking enabled
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- **Strategy:** FSDP2; HF checkpoint exported every 5 RL steps; **this artifact is step 45**
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# Intended uses & limitations
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This is an **agentic coding model**: it is designed to operate as a tool-using agent in the terminus-2 harness (issuing shell commands / edits and reasoning over terminal output) to solve software-engineering tasks. It inherits Qwen3-8B's general capabilities plus agentic behaviour from cold-start SFT and the RL stage. Limitations: outputs (including shell commands) may be incorrect or unsafe and should be executed only in sandboxed environments with review; the RL stage optimized for the `pymethods2test`/SWE-Smith-style task distribution and may generalize unevenly to other domains.
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> **Evaluation:** No verified agentic-benchmark numbers are published for this specific 8B RL checkpoint in the source artifact; evaluation results are **TBD**. (The flagship [OpenThinkerAgent-32B](https://huggingface.co/open-thoughts/OpenThinkerAgent-32B) card reports the project's benchmark suite for the 32B SFT line.)
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# Links
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- 🌐 [OpenThoughts-Agent project page](https://www.openthoughts.ai/blog/agent)
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- 💻 [OpenThoughts-Agent GitHub repository](https://github.com/open-thoughts/OpenThoughts-Agent)
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- 📚 [OpenThinker-Agent collection](https://huggingface.co/collections/open-thoughts/openthinker-agent)
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- 🤖 [Pre-RL base model: OpenThinkerAgent-8B-ColdStartSFTForRL](https://huggingface.co/open-thoughts/OpenThinkerAgent-8B-ColdStartSFTForRL)
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- 🧠 [RL tasks: OpenThoughts-Agent-RL-5K](https://huggingface.co/datasets/open-thoughts/OpenThoughts-Agent-RL-5K)
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- 🧠 [Cold-start SFT dataset: OpenThoughts-Agent-SFT-ColdStartForRL-10K](https://huggingface.co/datasets/open-thoughts/OpenThoughts-Agent-SFT-ColdStartForRL-10K)
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# Citation
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```
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@misc{openthoughts-agent,
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author = {Team, OpenThoughts-Agent},
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title = {{OpenThoughts-Agent: Data Recipes for Agentic Models}},
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howpublished = {https://www.openthoughts.ai/blog/agent},
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year = {2026}
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}
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```
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28
added_tokens.json
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added_tokens.json
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{
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"</think>": 151668,
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"</tool_call>": 151658,
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"</tool_response>": 151666,
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"<think>": 151667,
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"<tool_call>": 151657,
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"<tool_response>": 151665,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|file_sep|>": 151664,
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"<|fim_middle|>": 151660,
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"<|fim_pad|>": 151662,
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"<|fim_prefix|>": 151659,
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"<|fim_suffix|>": 151661,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
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"<|image_pad|>": 151655,
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"<|object_ref_end|>": 151647,
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"<|object_ref_start|>": 151646,
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"<|quad_end|>": 151651,
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"<|quad_start|>": 151650,
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"<|repo_name|>": 151663,
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"<|video_pad|>": 151656,
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"<|vision_end|>": 151653,
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"<|vision_pad|>": 151654,
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"<|vision_start|>": 151652
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}
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chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if message.content is string %}
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{%- set content = message.content %}
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{%- else %}
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{%- set content = '' %}
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{%- endif %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- if enable_thinking is defined and enable_thinking is false %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- endif %}
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{%- endif %}
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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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"Qwen3ForCausalLM"
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],
|
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"attention_bias": false,
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"attention_dropout": 0.0,
|
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"dtype": "bfloat16",
|
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"eos_token_id": 151645,
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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": 12288,
|
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"layer_types": [
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
||||
"full_attention",
|
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"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
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"full_attention",
|
||||
"full_attention",
|
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"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": 40960,
|
||||
"max_window_layers": 36,
|
||||
"model_type": "qwen3",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 36,
|
||||
"num_key_value_heads": 8,
|
||||
"pad_token_id": 151643,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_scaling": null,
|
||||
"rope_theta": 1000000,
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": false,
|
||||
"transformers_version": "4.57.3",
|
||||
"use_cache": false,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 151936
|
||||
}
|
||||
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generation_config.json
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generation_config.json
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{
|
||||
"do_sample": true,
|
||||
"eos_token_id": [
|
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151645,
|
||||
151643
|
||||
],
|
||||
"pad_token_id": 151643,
|
||||
"temperature": 0.6,
|
||||
"top_k": 20,
|
||||
"top_p": 0.95,
|
||||
"transformers_version": "4.57.3"
|
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}
|
||||
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merges.txt
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151388
merges.txt
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File diff suppressed because it is too large
Load Diff
3
model-00001-of-00004.safetensors
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3
model-00001-of-00004.safetensors
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.norm.weight": "model-00004-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"eos_token": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
146
swesmith-fixthink-pymethods2test_rl_config.json
Normal file
146
swesmith-fixthink-pymethods2test_rl_config.json
Normal file
@@ -0,0 +1,146 @@
|
||||
{
|
||||
"job_name": "swesmith-fixthink-pymethods2test",
|
||||
"experiments_dir": "/pscratch/sd/p/penfever/OpenThoughts-Agent/experiments/swesmith-fixthink-pymethods2test",
|
||||
"cluster_name": "perlmutter",
|
||||
"skyrl_entrypoint": "examples.terminal_bench.entrypoints.main_tbench",
|
||||
"skyrl_hydra_args": [
|
||||
"+terminal_bench_config=terminal_bench",
|
||||
"trainer.strategy=fsdp2",
|
||||
"trainer.algorithm.advantage_estimator=rloo_n",
|
||||
"trainer.algorithm.use_kl_loss=false",
|
||||
"trainer.algorithm.kl_loss_coef=0.0",
|
||||
"trainer.algorithm.eps_clip_low=0.2",
|
||||
"trainer.algorithm.eps_clip_high=0.2",
|
||||
"trainer.algorithm.loss_reduction=token_mean",
|
||||
"trainer.epochs=2",
|
||||
"trainer.max_steps=60",
|
||||
"trainer.update_epochs_per_batch=1",
|
||||
"trainer.train_batch_size=64",
|
||||
"trainer.policy_mini_batch_size=64",
|
||||
"trainer.eval_batch_size=64",
|
||||
"trainer.micro_forward_batch_size_per_gpu=4",
|
||||
"trainer.micro_train_batch_size_per_gpu=1",
|
||||
"trainer.max_prompt_length=999999",
|
||||
"trainer.eval_interval=999999",
|
||||
"trainer.eval_before_train=false",
|
||||
"trainer.ckpt_interval=999999",
|
||||
"trainer.resume_mode=latest",
|
||||
"trainer.hf_save_interval=5",
|
||||
"++trainer.hf_hub_repo_id=laion/swesmith-fixthink-pymethods2test",
|
||||
"++trainer.hf_hub_private=false",
|
||||
"++trainer.hf_hub_revision=main",
|
||||
"++trainer.enable_db_registration=true",
|
||||
"trainer.project_name=OpenThoughts-Agent",
|
||||
"trainer.log_level=INFO",
|
||||
"trainer.tracker_commit_each_step=true",
|
||||
"trainer.run_name=swesmith-fixthink-pymethods2test",
|
||||
"trainer.ckpt_path=experiments/swesmith-fixthink-pymethods2test/swesmith-fixthink-pymethods2test/checkpoints",
|
||||
"trainer.export_path=experiments/swesmith-fixthink-pymethods2test/swesmith-fixthink-pymethods2test/exports",
|
||||
"trainer.policy.optimizer_config.lr=5e-6",
|
||||
"trainer.policy.optimizer_config.weight_decay=0.0",
|
||||
"trainer.policy.optimizer_config.adam_betas=[0.9,0.999]",
|
||||
"trainer.policy.fsdp_config.cpu_offload=true",
|
||||
"trainer.policy.fsdp_config.reshard_after_forward=true",
|
||||
"trainer.policy.fsdp_config.fsdp_size=4",
|
||||
"trainer.policy.model.path=/pscratch/sd/p/penfever/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6",
|
||||
"trainer.ref.fsdp_config.cpu_offload=true",
|
||||
"trainer.ref.fsdp_config.reshard_after_forward=true",
|
||||
"trainer.ref.fsdp_config.fsdp_size=4",
|
||||
"trainer.placement.colocate_all=false",
|
||||
"trainer.placement.policy_num_nodes=2",
|
||||
"trainer.placement.ref_num_nodes=2",
|
||||
"trainer.placement.policy_num_gpus_per_node=4",
|
||||
"trainer.placement.ref_num_gpus_per_node=4",
|
||||
"trainer.fully_async.max_staleness_steps=16",
|
||||
"trainer.fully_async.num_parallel_generation_workers=768",
|
||||
"generator.backend=vllm",
|
||||
"generator.timeout_multiplier=1.0",
|
||||
"generator.model_dtype=bfloat16",
|
||||
"generator.inference_engine_tensor_parallel_size=1",
|
||||
"generator.num_inference_engines=16",
|
||||
"generator.n_samples_per_prompt=8",
|
||||
"generator.eval_n_samples_per_prompt=8",
|
||||
"generator.gpu_memory_utilization=0.9",
|
||||
"generator.max_num_seqs=24",
|
||||
"generator.max_num_batched_tokens=16384",
|
||||
"generator.enable_prefix_caching=true",
|
||||
"generator.enable_chunked_prefill=true",
|
||||
"generator.run_engines_locally=true",
|
||||
"generator.weight_sync_backend=nccl",
|
||||
"generator.async_engine=true",
|
||||
"generator.batched=false",
|
||||
"generator.enable_http_endpoint=true",
|
||||
"generator.enable_ray_prometheus_stats=false",
|
||||
"generator.vllm_stats_interval=1",
|
||||
"generator.append_eos_token_after_stop_str_in_multi_turn=true",
|
||||
"generator.max_turns=999999",
|
||||
"generator.sampling_params.max_generate_length=4096",
|
||||
"generator.sampling_params.temperature=0.7",
|
||||
"generator.sampling_params.top_p=0.95",
|
||||
"generator.sampling_params.top_k=20",
|
||||
"++generator.engine_init_kwargs={max_model_len: 32768, custom_chat_template_chat_completion_path: chat_templates/qwen3_thinking_acc.jinja2, served_model_name: 0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6}",
|
||||
"data.train_data=[\"/pscratch/sd/p/penfever/tasks/exp_rpt_pymethods2test-large\"]",
|
||||
"data.val_data=[\"/pscratch/sd/p/penfever/tasks/OpenThoughts-TB-dev\"]",
|
||||
"+terminal_bench_config.trials_dir=experiments/swesmith-fixthink-pymethods2test/swesmith-fixthink-pymethods2test/trace_jobs",
|
||||
"+terminal_bench_config.harbor.name=terminus-2",
|
||||
"+terminal_bench_config.harbor.max_episodes=999999",
|
||||
"+terminal_bench_config.harbor.enable_summarize=false",
|
||||
"+terminal_bench_config.harbor.store_all_messages=true",
|
||||
"+terminal_bench_config.harbor.enable_episode_logging=false",
|
||||
"+terminal_bench_config.harbor.record_terminal_session=false",
|
||||
"+terminal_bench_config.harbor.enable_pane_logging=false",
|
||||
"+terminal_bench_config.harbor.strict_json_parser=true",
|
||||
"+terminal_bench_config.harbor.interleaved_thinking=true",
|
||||
"+terminal_bench_config.harbor.extra_body.chat_template_kwargs={enable_thinking: true}",
|
||||
"+terminal_bench_config.harbor.override_timeout_sec=1800",
|
||||
"+terminal_bench_config.harbor.override_cpus=1",
|
||||
"+terminal_bench_config.harbor.override_memory_mb=2048",
|
||||
"+terminal_bench_config.harbor.override_storage_mb=2048",
|
||||
"+terminal_bench_config.harbor.auto_snapshot=true",
|
||||
"+terminal_bench_config.harbor.verifier_override_timeout_sec=120",
|
||||
"+terminal_bench_config.harbor.max_retries=3",
|
||||
"+terminal_bench_config.harbor.min_wait_sec=60.0",
|
||||
"+terminal_bench_config.harbor.max_wait_sec=600.0",
|
||||
"+terminal_bench_config.harbor.wait_multiplier=2.0",
|
||||
"+terminal_bench_config.harbor.exclude_exceptions=[\"AgentTimeoutError\",\"VerifierTimeoutError\",\"RewardFileNotFoundError\",\"RewardFileEmptyError\",\"VerifierOutputParseError\",\"ContextLengthExceededError\"]",
|
||||
"+terminal_bench_config.harbor.n_concurrent_trials=280",
|
||||
"+terminal_bench_config.harbor.log_level=INFO",
|
||||
"+terminal_bench_config.harbor.enable_reward_shaping=false",
|
||||
"+terminal_bench_config.harbor.enable_error_classification=true",
|
||||
"+terminal_bench_config.harbor.mask_exceptions=[\"DaytonaError\",\"EnvironmentStartTimeoutError\",\"NetworkError\",\"ConnectionError\",\"RewardFileNotFoundError\",\"RewardFileEmptyError\",\"AgentEnvironmentTimeoutError\",\"AgentTimeoutError\",\"ContextLengthExceededError\"]",
|
||||
"+terminal_bench_config.harbor.default_error_treatment=zero",
|
||||
"+terminal_bench_config.model_info.max_input_tokens=32768",
|
||||
"+terminal_bench_config.model_info.max_output_tokens=4096",
|
||||
"+terminal_bench_config.archiving.enabled=false",
|
||||
"+terminal_bench_config.trace_upload.enabled=true",
|
||||
"+terminal_bench_config.trace_upload.repo_org=DCAgent",
|
||||
"+terminal_bench_config.trace_upload.episodes=last",
|
||||
"+terminal_bench_config.trace_upload.dataset_type=SFT"
|
||||
],
|
||||
"model_path": "/pscratch/sd/p/penfever/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6",
|
||||
"train_data": [
|
||||
"/pscratch/sd/p/penfever/tasks/exp_rpt_pymethods2test-large"
|
||||
],
|
||||
"val_data": [
|
||||
"/pscratch/sd/p/penfever/tasks/OpenThoughts-TB-dev"
|
||||
],
|
||||
"num_nodes": 6,
|
||||
"gpus_per_node": 4,
|
||||
"cpus_per_node": 64,
|
||||
"tensor_parallel_size": 1,
|
||||
"ray_port": 6379,
|
||||
"master_port": 12345,
|
||||
"checkpoints_dir": null,
|
||||
"export_path": "/pscratch/sd/p/penfever/OpenThoughts-Agent/experiments/swesmith-fixthink-pymethods2test/swesmith-fixthink-pymethods2test/exports",
|
||||
"needs_ssh_tunnel": false,
|
||||
"needs_cuda_detection": true,
|
||||
"pinggy_persistent_url": null,
|
||||
"pinggy_token": null,
|
||||
"agent_name": "terminus-2",
|
||||
"harbor_env": "daytona",
|
||||
"proxychains_binary": null,
|
||||
"trace_upload_enabled": true,
|
||||
"trace_upload_repo_org": "DCAgent",
|
||||
"trace_upload_episodes": "last",
|
||||
"trace_upload_dataset_type": "SFT"
|
||||
}
|
||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
240
tokenizer_config.json
Normal file
240
tokenizer_config.json
Normal file
@@ -0,0 +1,240 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151646": {
|
||||
"content": "<|object_ref_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151647": {
|
||||
"content": "<|object_ref_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151648": {
|
||||
"content": "<|box_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151649": {
|
||||
"content": "<|box_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151650": {
|
||||
"content": "<|quad_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151651": {
|
||||
"content": "<|quad_end|>",
|
||||
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|
||||
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|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151652": {
|
||||
"content": "<|vision_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
"content": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
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|
||||
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|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"151660": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"151661": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151665": {
|
||||
"content": "<tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151666": {
|
||||
"content": "</tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151667": {
|
||||
"content": "<think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151668": {
|
||||
"content": "</think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 32768,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"padding_side": "left",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user