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Model: namkoong-lab/LatentGym_Qwen3-8B_1episode_4Envs_full
Source: Original Platform

.gitattributes

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README.md

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+---
+base_model: Qwen/Qwen3-8B
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
+language: [en]
+tags:
+  - qwen3
+  - meta-rl
+  - in-context-learning
+  - grpo
+---
+
+# LatentGym_Qwen3-8B_1episode_4Envs_full
+
+GRPO-fine-tuned Qwen3-8B for in-context meta-learning across 4 envs (N=1). Part of the [LatentGym](https://huggingface.co/collections/namkoong-lab/latentgym) testbed.
+
+## Environments & training latents
+
+| Env | Latents seen during training |
+|---|---|
+| hangman | `vowel_count_4`, `ending_ABLE` |
+| wordladder | `hub_word_3letter`, `hub_word_4letter`, `order_outside_in` |
+| secretary | `inverse_order`, `fixed_position_2` |
+| number_guessing | `set_of_3`, `range_100` |
+
+## Training hyperparameters
+
+| | |
+|---|---|
+| Base model | `Qwen/Qwen3-8B` |
+| Algorithm | GRPO |
+| Optimizer | AdamW (β₁=0.9, β₂=0.999) |
+| Learning rate | 5e-07 |
+| LR schedule | constant_with_warmup |
+| Weight decay | 0.01 |
+| Max grad norm | 1.0 |
+| KL coefficient β | 0.04 |
+| Clip range ε | 0.2 |
+| Train batch (prompts) | 32 |
+| Mini-batch | 1 |
+| Rollouts per prompt | 8 |
+| Episodes per trajectory (N) | 1 |
+| Reward Φ | Σᵢ Gᵢ (cumulative) |
+| Epochs | 20 |
+| Max generation length | 64 |
+| Sampling (train) | T=0.8, top-p=0.95 |
+| Seed | 263 |

_provenance.json

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+{
+  "base_model": "Qwen/Qwen3-8B",
+  "copied_at": "2026-06-08T16:48:27.766023Z",
+  "eval_envs": [
+    "hangman",
+    "wordladder",
+    "secretary",
+    "number_guessing"
+  ],
+  "held_out_envs": [],
+  "mode_prefix": "1episode",
+  "n_episodes": 1,
+  "new_name": "LatentGym_Qwen3-8B_1episode_4Envs_full_best",
+  "scope_key": "4Envs_full",
+  "sha256": {
+    "added_tokens.json": "c0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680",
+    "chat_template.jinja": "a55ee1b1660128b7098723e0abcd92caa0788061051c62d51cbe87d9cf1974d8",
+    "config.json": "38a8a5a58ef8dfdfe121758e5ed011e66d9e46f42c4dde7b0ed4d111f0596775",
+    "generation_config.json": "64d86df2173901c58389974bde21f7d2ab9eb7d79f35a337753329d39cf265c0",
+    "merges.txt": "8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5",
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+    "model-00003-of-00004.safetensors",
+    "model-00004-of-00004.safetensors"
+  ],
+  "small_files": [
+    "config.json",
+    "generation_config.json",
+    "tokenizer_config.json",
+    "special_tokens_map.json",
+    "added_tokens.json",
+    "chat_template.jinja",
+    "merges.txt",
+    "model.safetensors.index.json"
+  ],
+  "source_hydra_config_path": "/pscratch/sd/d/daksh30/TrainExplore/V1_4Envs/Qwen3-8B_v1_4envs_ne=1_tbs=32_nsp=8_mbs=16_plr=5e-07_kl=0.04_seed=263/hydra/.hydra/config.yaml",
+  "source_job_dir": "/pscratch/sd/d/daksh30/TrainExplore/V1_4Envs/Qwen3-8B_v1_4envs_ne=1_tbs=32_nsp=8_mbs=16_plr=5e-07_kl=0.04_seed=263",
+  "source_step": "global_step_870",
+  "train_envs": [
+    "hangman",
+    "wordladder",
+    "secretary",
+    "number_guessing"
+  ],
+  "trained_latents": {
+    "hangman": [
+      "vowel_count_4",
+      "ending_ABLE"
+    ],
+    "number_guessing": [
+      "set_of_3",
+      "range_100"
+    ],
+    "secretary": [
+      "inverse_order",
+      "fixed_position_2"
+    ],
+    "wordladder": [
+      "hub_word_3letter",
+      "hub_word_4letter",
+      "order_outside_in"
+    ]
+  },
+  "variant": "best"
+}

added_tokens.json

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+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
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chat_template.jinja

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+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# 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>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\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" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- 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>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

config.json

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+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "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": 40960,
+  "max_window_layers": 36,
+  "model_type": "qwen3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.57.6",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

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+  "do_sample": true,
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+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "4.57.6"
+}

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