Focus Red

repackaged Qwen 3.8 27B with a simplified architecture and minor opinionated improvements

  • all vision-related components removed
  • reduced storage and memory, faster inference
  • zero loss of output quality

comparison

Qwen 3.8 27B Focus Red
author Alibaba Qwen Jaid
repository Qwen/Qwen3.8-27B Jaidchen/Focus-Red
architecture qwen3_5 qwen3_5_text
Transformers handler Qwen3_5ForConditionalGeneration Qwen3_5ForCausalLM
tensor entries 1199 851
tensor type bf16 bf16
parameters 27โ€ฏ781โ€ฏ427โ€ฏ952 26โ€ฏ895โ€ฏ998โ€ฏ464
active 100% 100%
vocabulary size 248โ€ฏ320 248โ€ฏ320
context size 262โ€ฏ144 262โ€ฏ144
MTP integrated Jaidchen/Focus-Red-MTP
sampling strategy random sampling greedy/deterministic
sampling parameters
do_sample: true
temperature: 1.0
top_k: 20
top_p: 0.95
do_sample: false
temperature: 0
top_k: 1
top_p: 1
input modality text, image, video text
model size 55โ€ฏ562โ€ฏ855โ€ฏ904 53โ€ฏ791โ€ฏ996โ€ฏ928
splits 18 none
Jinja template Qwen original Qwen original
+ Unsloth tweaks
+ Froggeric tweaks
+ unimodality patch
+ further custom tweaks

pros

  • reduced storage needs
  • reduced loading time
  • reduced VRAM occupancy, thus more room for context
  • increased inference speed
  • simplified architecture, unlocking some further potential for optimizing low-level procedures

cons

  • legally blind
    • Pictures and video frames can still be present in the context without crashing, but their contents are no longer interpreted by the model and wonโ€™t do anything else than waste space.
    • If you occasionally rely on those capabilities, I suggest adding a consult tool to your harness that calls a vision-enabled subagent model like Gemini Flash or GPT.
  • reduced compatibility
    • The simplified architecture is handled by the Qwen3_5ForCausalLM class which may not be included in your inference engine. In this case you would need to ask your agent or integrate it yourself.
      • Inference engines confirmed to have native support:
    • The applied coercions may confuse your inference engine in case it has fixed expectations about the modelโ€™s architecture and thus lead to unpredictable behavior.

caveats

  • model file not split, possibly causing issues if intended to be stored on an HDD from the previous century
  • random sampling disabled by default, less suitable for long-form writing, entertainment and casual chat

Jinja template

  • base: Qwen/Qwen3.8-27B original
    • Retains Qwen3.8's native reasoning_effort handling (xhigh by default, plus medium and low) and its reasoning instructions. (lines 45โ€“59)
    • Retains injection of those reasoning instructions into the tool/system preamble whenever thinking is enabled. (lines 60โ€“94)
    • Preserves Qwen3.8's default-on historical thinking behavior while the later Froggeric layer avoids synthesizing empty thinking blocks. (lines 108โ€“120)
  • adopted tweaks from Unsloth Qwen3.8
    • commit 3ea932cee0a432ae86e9c7826cbe8aef52323a28
    • Added developer role as alias for system and merged leading system/developer messages into a single policy message. (lines 45โ€“59, lines 80โ€“93)
    • Allowed histories without a normal human query. (lines 95โ€“107)
  • retained compatibility tweak from the previous Unsloth Qwen3.6 layer
    • Made mapping-argument rendering portable by avoiding |items; the current Unsloth Qwen3.8 template uses |items again, so Focus deliberately keeps the portable implementation. (lines 122โ€“130)
  • adopted tweaks from Froggeric Qwen3.8 version
  • custom tweaks
    • Merged any number of leading system/developer messages, generalizing the Unsloth merge behavior.
    • Kept Qwen3.8's reasoning instructions ahead of both merged policy text and the tools preamble.
    • Applied boundary-aware </think> parsing but excluded Froggeric's malformed-tag recovery.
    • Raised an error containing the offending role instead of Qwen's generic unknown-role error. (lines 160โ€“162)
    • Used direct message indexing for tool-response grouping without Froggeric's error-escalation state.
    • Guarded undefined tools/tool_calls and handled non-mapping content items defensively.
    • Retained Qwen's proposed continue_final_message fix for partial assistant prefills. (lines 130โ€“132)
  • unimodality patch
    • Removed Qwen3.8's vision-token machinery and rendered image/video content as [image] and [video]. (lines 1โ€“41)

license

Apache 2.0 โ€“ inherited from Qwen 3.8 27B

Downloads last month
44
Safetensors
Model size
27B params
Tensor type
BF16
ยท
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for Jaidchen/Focus-Red

Base model

Qwen/Qwen3.8-27B
Finetuned
(752)
this model
Finetunes
1 model
Quantizations
1 model